158 AI And Machine Learning Specialists jobs in Chicago
AI Machine learning engineer
Posted 3 days ago
Job Viewed
Job Description
Description Logistics: Type: 6+ month contract to hire (C2H is a must have) Location: Willis Tower, downtown Chicago, IL - 5 days on-site, after conversion only 4 days on-site required This team is looking for someone passionate about machine learning who can join a startup like division They are on the cutting edge of AI initiatives This team supports many ongoing AI initiative all centered around medical devices so healthcare/med device/pharma experience highly preferred. Role Summary Drive the technical execution of AI initiatives by bridging advanced algorithm research with scalable engineering. You will own the completion and future evolution of the PAI AI Development foundation, stand-up production-grade MLOps, and act as the connective tissue between data, infrastructure, and algorithm teams. Key Responsibilities End-to-end design & delivery of ML solutions (data ingestion, feature engineering, training, validation, deployment, monitoring). Architecting a highly available, secure, cloud/on-prem hybrid ML infrastructure. Lead implementation of CI/CD for models (testing, rollout, rollback, governance). Partner with algorithm scientists to translate ideas into production-ready code. Ensure regulatory & privacy compliance (HIPAA, GDPR, SaMD) in pipelines. Evaluate emerging GenAI tools, multimodal techniques, and HW accelerators; pilot where valuable. Mentor scientists and engineers, establish coding standards, and conduct design reviews. Required Qualifications 8 + yrs software / ML engineering, incl. 3 + yrs architecting production ML systems. Strong domain knowledge and experience in medical signal and image processing Background or experience with medical devices is strongly preferred. Deep expertise in Python; proficiency in one systems language (C++/Go/Java). Strong working knowledge of PyTorch/TensorFlow/JAX, distributed training, and GPU optimization. Hands-on with Docker, Kubernetes, ML orchestration (Kubeflow, Airflow, Prefect), and model registries (MLflow). Experience operating in a regulated or mission-critical environment. Proven record of leading project teams or mentoring ML scientists and engineers; comfortable making architectural decisions and rallying others around them. Preferred Qualifications Background in signal processing, computer vision, or multimodal learning. Prior involvement in FDA 510(k) / SaMD submissions or clinical-grade ML products. Experience with data security, anonymization, synthetic data, and federated learning. Publications, patents, or open-source leadership are a plus. Demonstrated ability to scale yourself through others — e.g., setting coding standards, running design reviews, or leading guilds/chapters. Soft Skills: Strategic mindset, bias for action, excellent written & verbal communication, team-first attitude. Benefits: York Solutions Offers a generous benefits package for eligible full-time employees: BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program) Delta Dental plan with 2 free cleanings and insurance discounts Eye Med Vision with annual check-ups and discounts on lens Life and Accidental Death Insurance paid by company John Hancock 401(k) Retirement Plan with discretionary company match up to 5% Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance. Flexible work environment with some remote working opportunities Strong fun and teamwork environment Learning, development, and career growth #J-18808-Ljbffr
Director, AI & Machine Learning (Oakbrook Terrace)
Posted today
Job Viewed
Job Description
Who We Are
We’re powering a cleaner, brighter future.
Exelon is leading the energy transformation, and we’re calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities and communities stronger, healthier and more resilient.
We’re powered by purpose-driven people like you who believe in being inclusive and creative, and value safety, innovation, integrity and community service. We are a Fortune 200 company, 19,000 colleagues strong serving more than 10 million customers at six energy companies — Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).
In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. And since we know transforming the future of energy is hard work, we provide competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career.
Are you in?
Primary Purpose
PRIMARY PURPOSE OF POSITION
Exelon is seeking a Director of AI and Machine Learning to drive the execution of AI/ML strategy and innovation in our energy intelligence efforts. As a leader within the AI and Machine Learning (AIML) organization, you will focus on implementing the Exelon AIML strategy leveraging large-scale ML systems, computer vision, natural language processing, and multi-modal understanding. You will be responsible for executing best practices for the ML lifecycle, ensuring our solutions are private, reliable, and scalable across the entire consumer ecosystem while aligning with Exelon’s broader AIML strategy. The Digital Solutions team is looking for a results-driven leader with deep expertise in the end-to-end ML lifecycle, including data ingestion, model training, deployment, monitoring, and retraining. This individual will be instrumental in driving the execution and implementation of our ML platform, leading engineering teams, and ensuring all AI/ML initiatives align with Exelon’s overall AIML vision and strategic priorities.
Primary Duties
PRIMARY DUTIES AND ACCOUNTABILITIES
• Partner with engineering teams and developers across Exelon to deploy cutting-edge technologies that accelerate the ML lifecycle and integrate seamlessly with broader enterprise initiatives. (30%)
• Direct AIML engineering teams to implement best practices, tools, and processes for managing the ML lifecycle, including data management, model training, validation, deployment, monitoring, and retraining. (20%)
• Serve as a key executor in translating AI/ML strategy into tangible, scalable solutions that align with Exelon’s business objectives and strategic goals. (20%)
• Drive the execution of the complete product lifecycle from concept to deployment, ensuring consistency with Exelon’s digital transformation and AIML strategies. (10%)
• Gather customer feedback and analyze market trends to refine product roadmaps and communicate execution plans to senior management, ensuring continuous alignment with Exelon’s broader AI/ML objectives. (10%)
• Translate product and program requirements into actionable technical use cases, proactively identifying risks and enabling engineering teams to mitigate challenges while maintaining alignment with company-wide AI/ML standards. (5%)
• Ensure all ML programs meet performance specifications, key business metrics, and regulatory compliance standards while staying aligned with corporate AI/ML governance. (5%)
Job Scope
JOB SCOPE
• Level and depth of supervisory duties: This leader should have experience managing demand for work and ensuring timely and within budget delivery of AIML innovations throughout Exelon. They should also have experience educating team regarding the benefits of AI and knows how to work to identify areas where the application of AIML would lead to process and cost efficiencies. They should be experienced in making AIML cultural within organizations.
• Total number of employees managed; direct and indirect reports (span of control) Newly formed area, this director will begin with a manager and two E03s reporting to them as well as multiple pods (30 people) of contractors working on the extensive AI work happening within Exelon.
• Level of independence, decision-making authority or strategic planning accountability This person will report to the VP of Digital Solutions and will assist in executing the strategy set by Corporate for both Customer, Operations, Finance, and Employees.
• Internal and external contact relationships This person should have strong relationships in the industry and be passionate about evolving AIML trends to ensure that we are leveraging the technologies that will benefit us most.
• Budget accountability, impact on asset management, and organization revenue This individual will be accountable that all projects worked within their area be on-budget.
Minimum Qualifications
MINIMUM QUALIFICATIONS
• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Deep expertise in machine learning frameworks and cloud-based ML platforms.
• Proven ability to execute AI/ML strategies and implement solutions at scale while aligning with broader corporate AI/ML goals.
• Strong experience in leading cross-functional teams and executing large-scale AI/ML projects.
• Experience in ML operations (MLOps), including model registries, feature stores, monitoring, and retraining workflows.
• Exceptional communication skills, with the ability to translate complex technical concepts into actionable business strategies.
Preferred Qualifications
PREFERRED QUALIFICATIONS
• Master’s degree or PhD in Computer Science, Data Science, Artificial Intelligence, or related field
• 10+ years of experience in AI/ML development, with a strong track record in ML platform architecture, model deployment, and lifecycle management.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong knowledge of energy systems, power grid analytics, and smart grid technologies is a plus.
Benefits
Benefits
• Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $172,000.00/Yr. – $36,500.00/Yr. plus an additional 50K in Long Term Incentive Plan annually
• Annual Bonus for eligible positions: 30%
• 401(k) match and annual company contribution
• Medical, dental and vision insurance
• Life and disability insurance
• Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
• Employee Assistance Program and resources for mental and emotional support
• Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
• Referral bonus program
• And much more
Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
Company:Exelon
Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years):Senior (5+ years of experience)
Tagged as: Classification , Industry , Machine Learning , Natural Language Processing , NLP , United States
#J-18808-LjbffrAI & Machine Learning Engineer - Manager - Consulting - Open Location
Posted 2 days ago
Job Viewed
Job Description
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
**Technology - Data and Decision Science - AI Native Engineering**
**?** **AI/Machine Learning Engineer, Manager Consultant**
**The opportunity**
Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
**Your key responsibilities**
As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.
**Your responsibilities will include:**
+ Leading workstream delivery and ensuring the effective management of processes and projects.
+ Continuously improving processes by identifying innovative solutions through research and analysis.
+ Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
+ Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
+ Identifying opportunities for additional services and managing engagement economics.
**Skills and attributes for success**
To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services
The following attributes will make a significant impact:
+ Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
+ Strong judgment in selecting methods and techniques for obtaining results.
+ Experience in managing client relationships and delivering high-quality service.
+ Ability to lead teams effectively and manage change within the organization.
**To qualify for the role, you must have**
+ A Bachelor's degree required (4-year degree).
+ 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning
+ 2-4 years of experience directly managing technical teams
+ Strong skills in Python.
+ Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
+ Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.
+ Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
+ A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
+ Experience with MLOps methods and platforms such as MLFlow.
+ Experience with CI/CD and test-driven development.
+ Experience designing, building, and maintaining ML models, frameworks, and pipelines.
+ Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.
+ Understanding of data structures, data modelling and software engineering best practices.
+ Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.
+ Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.
+ Experience with containerization and scaling models.
+ Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.
+ Deep Learning expertise.
+ Proficiency in Mathematics, Statistics, and Operations Research.
+ Experience with Machine Learning techniques.
+ Knowledge of Data Architecture Design and Modelling.
+ Familiarity with Cloud Computing environments.
+ Skills in Technical Design Optimization.
+ Experience with Continuous Integration and Continuous Delivery/Deployment.
+ Understanding of Natural Language Processing and Generation.
+ Knowledge in Image Processing and Analysis.
+ Skills in Speech and Audio Processing and Analysis.
+ Ability to scale models effectively.
+ Strong relationship-building skills.
+ Demonstrated client trust and value.
+ Effective communication skills with impact.
+ Digital fluency and emotional agility.
+ Experience in hybrid collaboration.
+ Commercial acumen and negotiation skills.
+ Proven ability to lead teams and manage change.
+ Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
+ Willingness to travel to meet client obligations.
**Ideally, you'll also have**
+ A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
+ Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.
+ Experience working with diverse teams to deliver complex solutions.
+ Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
+ Experience fine-tuning Generative AI models.
+ Experience in managing complex projects with multiple stakeholders.
+ A strong understanding of industry trends and emerging technologies.
+ Skills in data visualization and storytelling with data.
**What we look for**
We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.
#FY26NATAID
**What we offer you**
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
+ We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $27,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is 149,200 to 259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
+ Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
+ Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
**Are you ready to shape your future with confidence? Apply today.**
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
**EY | Building a better working world**
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law?
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at .
AI & Machine Learning Engineer - Senior - Consulting - Open Location
Posted 3 days ago
Job Viewed
Job Description
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
**Technology - Data and Decision Science - AI Native Engineering**
**?** **AI/Machine Learning Engineer, Senior Consultant**
**The opportunity**
Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.
**Your key responsibilities**
In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.
You will spend your time on key responsibilities that include:
+ Researching and implementing scalable AI systems that meet business requirements.
+ Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
+ Monitoring and optimizing learning processes to improve high-performance models.
+ This position may have travel requirements as needed to engage with external clients regularly.
**Skills and attributes for success**
To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential.
This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.
+ Strong analytical and decision-making skills to guide project direction.
+ Proven experience in project management and tracking deliverable completion.
+ Ability to build and maintain relationships with clients and team members.
+ Excellent communication skills to convey complex ideas effectively.
**To qualify for the role, you must have**
+ A Bachelor's degree required (4-year degree).
+ 3-6 years of full-time working experience in AI and/or Machine Learning
+ Strong skills in Python.
+ Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
+ Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.
+ Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
+ A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
+ Experience with MLOps methods and platforms such as MLFlow.
+ Experience with CI/CD and test-driven development.
+ Experience designing, building, and maintaining ML models, frameworks, and pipelines.
+ Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.
+ Understanding of data structures, data modelling and software engineering best practices.
+ Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.
+ Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.
+ Experience with containerization and scaling models.
+ Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.
+ Proficiency in deep learning techniques.
+ Strong foundation in mathematics, statistics, and operations research.
+ Experience with machine learning algorithms and data architecture design.
+ Familiarity with cloud computing and technical design optimization.
+ Knowledge of natural language processing and image processing techniques.
+ Understanding of continuous integration and deployment methodologies.
+ Experience in scaling models for various applications.
+ Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
+ Willingness to travel to meet client obligations.
**Ideally, you'll also have**
+ Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.
+ Experience in hybrid collaboration and emotional agility.
+ A track record of working with diverse teams to drive outcomes through complex problem-solving.
+ Knowledge of sustainability practices in technology.
+ A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
+ Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
+ Experience fine-tuning Generative AI models.
**What we look for**
We seek individuals who are not only technically proficient but also possess the qualities of a top performer. You should be innovative, adaptable, and purpose driven by a desire to make a significant impact in the field of artificial intelligence. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.
#FY26NATAID
**What we offer you**
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
+ We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $74,800. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is 127,100 to 198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
+ Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
+ Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
**Are you ready to shape your future with confidence? Apply today.**
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
**EY | Building a better working world**
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law?
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at .
AI & Machine Learning Engineer - TMT - Manager - Consulting - Open Location
Posted 6 days ago
Job Viewed
Job Description
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
**Technology - Data and Decision Science - AI Native Engineering**
**?** **AI/Machine Learning Engineer, Manager Consultant - TMT Sector**
**The opportunity**
Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
**Your key responsibilities**
As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.
**Your responsibilities will include:**
+ Leading workstream delivery and ensuring the effective management of processes and projects.
+ Continuously improving processes by identifying innovative solutions through research and analysis.
+ Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
+ Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
+ Identifying opportunities for additional services and managing engagement economics.
**Skills and attributes for success**
To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services
The following attributes will make a significant impact:
+ Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
+ Strong judgment in selecting methods and techniques for obtaining results.
+ Experience in managing client relationships and delivering high-quality service.
+ Ability to lead teams effectively and manage change within the organization.
**To qualify for the role, you must have**
+ A Bachelor's degree required (4-year degree).
+ 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning
+ 2-4 years of experience directly managing technical teams
+ Strong skills in Python.
+ Extensive experience in telecommunications, media, or technology sectors, with a strong understanding of industry trends.
+ Proven ability to design and implement machine learning solutions that enhance network performance and customer experience.
+ Familiarity with telecommunications protocols (e.g., 5G, LTE) and their implications for data science.
+ Experience analyzing large-scale datasets from telecommunications networks, including call detail records and performance metrics.
+ Knowledge of streaming video and audio technologies, including analytics and content recommendation systems.
+ Experience with multi-modal models, including vision-language models.
+ Understanding of customer segmentation, churn prediction, and recommendation systems tailored to media and telecommunications.
+ Knowledge of regulatory and compliance considerations specific to the TMT sector.
+ Experience with real-time data processing frameworks (e.g., Apache Kafka).
+ Familiarity with cloud-based telecommunications solutions (e.g., AWS, Azure).
+ Experience with network optimization algorithms and techniques.
+ Knowledge of emerging technologies such as edge computing and IoT.
+ Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
+ Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.
+ Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
+ A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
+ Experience with MLOps methods and platforms such as MLFlow.
+ Experience with CI/CD and test-driven development.
+ Experience designing, building, and maintaining ML models, frameworks, and pipelines.
+ Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.
+ Understanding of data structures, data modelling and software engineering best practices.
+ Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.
+ Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.
+ Experience with containerization and scaling models.
+ Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.
+ Deep Learning expertise.
+ Proficiency in Mathematics, Statistics, and Operations Research.
+ Experience with Machine Learning techniques.
+ Knowledge of Data Architecture Design and Modelling.
+ Familiarity with Cloud Computing environments.
+ Skills in Technical Design Optimization.
+ Experience with Continuous Integration and Continuous Delivery/Deployment.
+ Understanding of Natural Language Processing and Generation.
+ Knowledge in Image Processing and Analysis.
+ Skills in Speech and Audio Processing and Analysis.
+ Ability to scale models effectively.
+ Strong relationship-building skills.
+ Demonstrated client trust and value.
+ Effective communication skills with impact.
+ Digital fluency and emotional agility.
+ Experience in hybrid collaboration.
+ Commercial acumen and negotiation skills.
+ Proven ability to lead teams and manage change.
+ Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
+ Willingness to travel to meet client obligations.
**Ideally, you'll also have**
+ A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
+ Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.
+ Experience working with diverse teams to deliver complex solutions.
+ Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
+ Experience fine-tuning Generative AI models.
+ Experience in managing complex projects with multiple stakeholders.
+ A strong understanding of industry trends and emerging technologies.
+ Skills in data visualization and storytelling with data.
**What we look for**
We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.
#FY26NATAID
**What we offer you**
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
+ We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $27,900. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is 149,200 to 259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
+ Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
+ Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
**Are you ready to shape your future with confidence? Apply today.**
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
**EY | Building a better working world**
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law?
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at .
Senior Machine Learning Engineer - AI Infrastructure
Posted today
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1 day ago Be among the first 25 applicants Direct message the job poster from Chamberlain Advisors Title: Senior Machine Learning Engineer – AI Infrastructure Location: Onsite 3 days/week – Deerfield, IL, Chicago (OPO), or Bellevue Duration & Type: Initial 3-Month Contract with potential conversion to FTE (30–90 days) Compensation: Competitive W2 Hourly Rate ($56-$2), Access to Healthcare and Dental Insurance Plan of Choice. (Benefit Plans can be requested at time of submission to client) Summary Chamberlain Advisors is supporting a key client in identifying a highly skilled Senior Machine Learning Engineer to join their AI Infrastructure team. This role plays a pivotal part in the development, deployment, and scaling of ML models and pipelines to support real-time and offline analytic processing. The selected candidate will collaborate with product teams, data scientists, and AI/ML engineers to architect robust and scalable machine learning solutions across cloud-based environments. This is a hands-on engineering role where you’ll also help establish best practices, mentor junior team members, and take ownership of deployment and infrastructure activities for enterprise-scale ML applications. Click Apply Now to join the Chamberlain experience. What You’ll Be Accountable For Develop software to process, store, and serve data and machine learning models. Build scalable data pipelines and structures to support ML and analytics workloads. Write and optimize ETL/ELT processes and data flow schedules across on-prem and cloud platforms. Troubleshoot issues related to data consistency, model deployment, and infrastructure reliability. Ensure adherence to data quality, accessibility, and security standards. Partner with AI/ML scientists to support model development, deployment, and real-time inference. Anticipate and mitigate risks related to ML model performance, architecture, or system scale. Collaborate cross-functionally with peers, leadership, and stakeholders across matrixed environments. Lead efforts to improve automation and reproducibility in ML development via CI/CD and DevOps tooling. What Qualifications You Need Bachelor’s degree and at least 4 years of experience in machine learning, software engineering, or data engineering. Advanced programming proficiency in Python, C/C++, Java, Spark, or Scala. Deep knowledge of SQL and relational data structures. Demonstrated experience with designing and implementing scalable ML infrastructure. Strong cross-functional collaboration skills within matrixed organizations. Proven ability to resolve complex technical issues, present insights to senior leadership, and influence strategy. At least 2 years of financial accountability and leadership of technical teams or cross-functional projects. Willing to travel up to 10% of the time, as needed. Preferred Qualifications Graduate degree in a technical discipline. Experience with cloud-native platforms (AWS, Azure, GCP) and their ML service offerings. Experience deploying ML models using Kubeflow, Seldon, MLFlow, or similar open-source tools. Proficiency in CI/CD tools such as Tekton, Azure DevOps, or GitHub Actions. Strong background in Infrastructure as Code (IaC), especially with Terraform. Familiarity with workflow orchestration tools like Airflow or Prefect. Experience building streaming and batch pipelines using Spark or Databricks. Experience with API development and deploying services in Kubernetes multi-tenant environments. Strong troubleshooting capabilities across distributed systems, with a focus on performance and cost optimization. Experience designing monitoring and alerting frameworks for cloud-based AI/ML systems using ELK stack, Splunk, or similar tools. About The Client Our fortune 20 client is seeking innovative and intelligent individuals to join their team. Here is your opportunity to join one of the largest healthcare and retail pharmacy companies in the U.S, with more than 10 million customers, over 8,000 retail stores, and a presence in multiple countries. Our client is constantly creating groundbreaking ways to meet customer needs, improve their health, and be a force for good in the world. This is your chance to work in a truly supportive environment and be a part of a progressive organization dedicated to the well-being of their customers, team members, and communities. Why Work with Chamberlain? Chamberlain Advisors is a veteran-owned business that provides human capital solutions through contract, contract-to-hire, direct-hire, and retained-search opportunities. Chamberlain candidates benefit from our unique hiring and interviewing process which has been designed to increase the likelihood that they will be successful in their job searches. This is achieved through our 5-step recruitment process, ensuring a top-of-the-line candidate experience. Find out what makes us different; apply to Chamberlain today. Equal Employment Opportunity Chamberlain Advisors provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Chamberlain Advisors complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Chamberlain Advisors expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Chamberlain Advisors' employees to perform their job duties may result in discipline up to and including discharge. Seniority level Seniority level Mid-Senior level Employment type Employment type Contract Job function Job function General Business, Information Technology, and Consulting Industries Staffing and Recruiting Referrals increase your chances of interviewing at Chamberlain Advisors by 2x Get notified about new Machine Learning Engineer jobs in Deerfield, IL . Chicago, IL $84,95 .00- 124,800.00 2 days ago Greater Chicago Area 99,840.00- 164,736.00 3 days ago Chicago, IL 93,840.00- 140,760.00 1 week ago Chicago, IL 88,800.00- 165,600.00 4 days ago Chicago, IL 91,770.00- 125,070.00 3 days ago Chicago, IL 123,500.00- 212,850.00 2 months ago Chicago, IL 123,500.00- 212,850.00 1 month ago Chicago, IL 100,500.00- 173,250.00 2 weeks ago Chicago, IL 120,000.00- 120,000.00 3 days ago Chicago, IL 123,500.00- 212,850.00 3 weeks ago Chicago, IL 135,000.00- 205,000.00 1 week ago Chicago, IL 160,000.00- 175,000.00 4 days ago Chicago, IL 123,500.00- 212,850.00 3 months ago Data Scientist, RWE Clinical Trials - Remote Deerfield, IL 89,250.00- 244,800.00 1 day ago Chicago, IL 123,500.00- 212,850.00 1 month ago Chicago, IL 135,000.00- 170,000.00 2 days ago Chicago, IL 85,000.00- 120,000.00 1 hour ago Chicago, IL 140,000.00- 195,000.00 21 hours ago Chicago, IL 75,000.00- 93,000.00 2 days ago Chicago, IL 135,000.00- 170,000.00 2 days ago Chicago, IL 123,500.00- 212,850.00 1 week ago Chicago, IL 200,000.00- 225,000.00 3 weeks ago Chicago, IL 68,000.00- 110,000.00 5 days ago Chicago, IL 73,500.00- 85,000.00 3 days ago We’re unlocking community knowledge in a new way. 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Head of Machine Learning and AI
Posted 3 days ago
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Job Description
Join to apply for the Head of Machine Learning and AI role at Gusto Join to apply for the Head of Machine Learning and AI role at Gusto About Gusto Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 400,000 businesses nationwide. About Gusto Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 400,000 businesses nationwide. Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy. About The Role Gusto’s Data team leverages Gusto’s rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. We are seeking a strategic Head of Machine Learning and AI, to lead a newly carved out function at Gusto. In this key leadership role, you will work with senior Product, Engineering and Design stakeholders to build better customer experiences and improve operations, aligning ML/AI use cases to our broader organizational goals and spearheading the culture of ML/AI throughout our product. Reporting to the Head of Data, you will also collaborate closely with cross-functional platform teams, including the ML Engineering Platform team and AI Platform team, to ensure that our ML/AI initiatives are scalable and robust. The Risk Data Science and Analytics team will also roll up within this organization, with the Head of Risk Data reporting to this role. As the Head of ML/AI, your team will own the end-to-end lifecycle of ML/AI projects—from ideation to production. You will oversee the delivery of data-driven insights and predictive models that improve decision-making, optimize processes, and mitigate risk. Your leadership will be critical in shaping the future of ML/AI within Gusto, setting strategic direction, and building a high-performing team of ML/AI practitioners. Here’s What You’ll Do Day-to-day Lead, manage, and mentor both the Applied ML/AI and Risk Data Science teams, fostering a culture of innovation, collaboration, and continuous learning. Define and execute the strategy for Applied ML/AI across the organization, ensuring alignment with business objectives and measurable impact. Collaborate closely with the ML Engineering Platform and AI Platform teams to ensure seamless integration and deployment of models into production environments. Oversee the design, development, and deployment of machine learning models and AI solutions that address key business challenges. Partner with key stakeholders across product, engineering, and business units to identify opportunities for ML/AI-driven improvements and innovations. Drive the adoption of best practices in model development, including monitoring, retraining, and ensuring compliance with relevant ethical and regulatory guidelines. Advocate for responsible AI usage and establish frameworks for fairness, transparency, and accountability in all ML initiatives. Establish KPIs and metrics to track the performance and business impact of ML solutions, reporting regularly to senior leadership. Manage team resources, budgets, and timelines to ensure successful delivery of projects and initiatives. Work with the AI Platform team to stay abreast of the latest developments in machine learning and artificial intelligence, ensuring the company remains at the cutting edge of innovation. Here’s What We're Looking For We love meeting people with different data backgrounds. For this role, we are looking for 8+ years of experience leading teams in applied machine learning, AI, or data science roles, with a track record of delivering impactful software solutions. Strong expertise in machine learning techniques, statistical modeling, and AI technologies, with hands-on experience in deploying models at scale Strong software engineering literacy and able to lead and grow a technical team of Machine Learning Engineers Excellent leadership and people management skills, with the ability to inspire and grow high-performing teams. Strong collaboration and communication skills, with experience working closely with engineering, product, and business teams to deliver end-to-end solutions. Capable of translating complex ML/AI concepts into actionable business strategies, and an ability to influence product teams roadmaps. Strategic thinker with a business-first mindset, able to build a vision for the future that inspires. Deep understanding of ML operations (MLOps) practices, including model monitoring, retraining, and lifecycle management. Experience in risk modeling or working within regulated environments is a plus. Excellent communication skills, with the ability to present complex technical ideas to both technical and non-technical stakeholders. Passion for responsible AI practices and a commitment to ethical AI development. Advanced degree in computer science, data science, machine learning, or a related field is a plus. Experience in the Fintech industry or risk management domain is a plus Join us in shaping the future of applied machine learning, driving innovation, and making a meaningful impact across our organization! Our cash compensation amount for this role is targeted at $228,000-$66,000/year in Denver, Chicago, and Atlanta, 247,000- 288,000/year in Los Angeles , and 268,000- 312,000/year for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice. Seniority level Seniority level Director Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Gusto by 2x Sign in to set job alerts for “Head of Machine Learning” roles. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
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Head of Machine Learning and AI Engineer (Chicago)
Posted today
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Job Description
Head of Machine Learning and AI Engineer
About the Company
Innovative provider of AI-powered software solutions
Industry
Computer Software
Type
Privately Held
About the Role
The Company is seeking a Head of Machine Learning and AI Engineer to lead the development and deployment of intelligent, human-centered solutions. This role is pivotal in ensuring that the company's customers experience deep, lasting success, from the initial engagement through onboarding and ongoing use. The successful candidate will be responsible for defining and executing the AI and ML strategy, driving core AI model development, and overseeing the full ML project lifecycle. As a technical leader, the Head of Machine Learning and AI Engineering will mentor a team of ML engineers and data scientists, fostering innovation and engineering excellence in areas such as natural language understanding, knowledge graph reasoning, and reinforcement learning. The ideal candidate will have a strong background in AI/ML, with at least 5 years of hands-on experience in building and deploying ML models, and a proven track record of delivering AI solutions into real-world production environments. Applicants for the Head of Machine Learning and AI Engineer position at the company should have a Master's or Ph.D. in a related field, with a background that includes experience in advanced ML engineering roles at leading tech organizations. The role requires a leader with a strong programming skill set, including Python, and experience in TensorFlow, PyTorch, or scikit-learn. Familiarity with distributed computing, big data, and cloud platforms is essential. The ideal candidate will be a team player with a hands-on, get-stuff-done mindset, and a passion for applying research to solve concrete problems. Early-stage startup experience is highly preferred, and the candidate should be a Citizen or Green Card Holder, as the company is not able to sponsor at this time.
Hiring Manager Title
Chief Technology Officer (CTO)
Travel Percent
Less than 10%
Functions
- Engineering
- Information Technology
Manager, Data Science
Posted 7 days ago
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Job Description
**How you will make an impact:**
Looking for an enthusiastic and motivated manager for our growing Data Science Team. We have a constantly growing, unique and rich healthcare dataset and have big plans to leverage this for the betterment of our patients. Adopting a largely greenfield infrastructure & barebones group; build, mold & grow them into your ideal team. This is a very novel opportunity to lead the development of innovative solutions with massive impact on patients' daily lives.
This is a people management role with the Data Science Manager tasked with building, leading and daily management of the Data Science team. This will encompass all aspects to ensure the success of the team in building new algorithms and models for internal use or deployed as product features for clinicians or patients. The manager will give direction, guidance and structure to the team while being at the center of hypothesis testing and experimentation. You will be empowered to deliver innovative, insightful & impactful features and projects. Additional Roles/Responsibilities:
+ Hire, build and grow the data science team. Multiple expansion requisitions approved for FY'25
+ Manage, mentor and guide team members to excel at their roles. Build upon your own deep technical strengths to impart insight and guidance to the team. Contribute and constructively challenge technical proposals & requests.
+ Handle team career development and annual reviews.
+ Own the Data Science roadmap & project backlog. Use your project management skills to steer, manage and prioritize the Data Science Teams workload & projects.
+ Aid distillation of complex technical approaches and progress into digestible presentations and updates to management & senior leadership.
+ Liaise with immediate teams (Data Engineering, Data Analytics) and external groups to understand needs and requests while progressing your team's needs.
+ Demonstrate good data governance practices and approaches equivalent to the risks and needs of the team.
+ Ensure the highest levels of confidentiality and sensitivity for dealing with Patient Health Information (PHI)
**What you'll need (Required):**
+ Bachelor's Degree in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education **-OR-** Master's Degree or equivalent in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education **-OR-** Ph.D. or equivalent in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education
+ Experience in technical leadership or management role
+ Previous hands-on knowledge of mathematical principals, Statistics, Data Analytics and Data Science principles and their use with building models and insights
**What else we look for (Preferred):**
+ Experience as a Data Scientist, Statistician or other technical data related role strongly preferred
+ Expert understanding of related aspects of machine learning, data science and artificial intelligence processes and/or systems
+ Hands-on experience with working and analyzing clinical or patient data (an advantage)
+ Demonstrated ability to manage one or more teams and provide coaching and feedback, including responsibility for all employee actions including hire/fire authority and partnering with HR on all aspects of employee relations (Experience leading Data Science, Data Analytics or Software Management teams is strongly preferred).
+ Ability to develop and integrate metrics into the projects and operations that clearly demonstrate the value of machine learning, data science and artificial intelligence to the business
+ Strict attention to detail
+ Ability to interact professionally with all organizational levels
+ Ability to work and excel within a fast paced, dynamic, and constantly changing work environment
+ Ability to frequently interacts with internal and external management and senior-level stakeholders concerning projects, operational decisions, scheduling requirements, and/or contractual clarifications
+ Ability to provide leadership and direction to cross-functional teams to successfully implement global enterprise systems and related solutions
+ Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control
Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For Illinois (IL), the base pay range for this position is $118,000 to $167,000 (highly experienced). The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
**COVID Vaccination Requirement**
Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.
VP, Data Science
Posted today
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Job Description
Job Description
General Summary
Elevate is a leading online lending platform specializing in providing small dollar loans to individuals and businesses. Our mission is to offer accessible and responsible financial solutions through innovative technology and personalized service. As we continue to grow our operations, we are looking for a dynamic and strategic Vice President of Credit Risk Management to join our leadership team.
Principal Duties and Responsibilities
- Strategic Leadership
- Develop and execute a comprehensive credit risk management strategy aligned with the company’s growth objectives.
- Stay abreast of industry trends, competitive practices, and regulatory changes to inform strategic decisions.
- Collaborate with the executive team to integrate credit risk considerations into overall business strategy.
- Portfolio Performance
- Help design and monitor portfolio reports, dashboards, and KPIs that allow executive management to measure portfolio profitability.
- Develop and maintain a strong relationship with Marketing, IT, Legal/Compliance and other functions to ensure alignment of Risk Management initiatives with Company objectives. Work with internal risk partners to improve the efficiency and effectiveness of the end-to-end programs for each business.
- Analyze the expected risk impacts and profitability of new products/Marketing channels. Make recommendations and execute strategy enhancements to improve profitability through creative Risk Management solutions.
- Work with product and marketing to set goals on different financial levers (first pay defaults, fund rates, cost of acquisition, profitability, etc…
- Innovation and Technology Integration
- Champion the adoption and integration of innovative technologies that enhance risk assessment processes, such as AI and data analytics tools.
- Explore opportunities to improve customer experience and operational efficiency through technology solutions.
- Team Leadership and Development
- Lead and mentor a high-performing risk management team, promoting a culture of innovation, accountability, and collaboration.
- Foster talent development and ensure team members have access to the training and development they need to excel.
- Regulatory Compliance and Governance
- Ensure all credit risk management practices are compliant with relevant laws and regulations.
- Collaborate with legal and compliance teams to develop risk policies and procedures that align with best practices and regulatory requirements.
- Stakeholder Engagement
- Build strong relationships with internal and external stakeholders, including executives, product teams, and regulatory bodies.
- Present credit risk strategies and findings to the board and senior leadership in a clear and compelling manner.
Experience and Education
- Master's degree in Finance, Business Administration, Economics, or a related field; PhD preferred.
- 10+ years of experience in credit risk management within the financial services or online lending industry.
- Proven track record of strategic leadership and driving high-impact initiatives successfully.
- Strong expertise in credit risk modeling methods, including experience with machine learning techniques.
- Excellent understanding of regulatory requirements and best practices in credit risk management.
- Exceptional analytical skills, with the ability to synthesize complex data and make informed decisions.
- Proven ability to drive innovation using technology and data analytics.
- Strong interpersonal and communication skills, with the ability to influence at all levels of the organization.
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