What Jobs are available for Artificial Intelligence in Las Vegas?

**Our Mission**
As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*Comscore, Total Visits, March 2025)
**Day to Day**
At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Director of Data Science to define and drive our data science endeavors for Indeed's Marketing organization. The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams.
Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day.
As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers.
**Responsibilities**
+ Define and oversee the data science roadmap, aligning with broader company goals
+ Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Intercementality testing.
+ Manage teams of data scientists and data engineers, nurturing their growth and ensuring delivery of key projects
+ Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization
+ Collaborate with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences
+ Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements
**Skills/Competencies**
+ Bachelor's Degree in Computer Science, Mathematics, Statistics
+ 10+ years of experience in data science, analytics, or a related field with 5+ years in a leadership role overseeing data science teams
+ A deep understanding of machine learning, statistical modeling, and predictive analytics.
+ Experience with LLMs
+ Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale
+ Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with product teams to drive business growth
+ Experience communicating and influencing product, technical, and business direction across all levels of a large organization
**Salary Range Transparency**
US Remote 204,000 - 296,000 USD per year
Austin Metro Area 204,000 - 296,000 USD per year
NYC Metro Area 224,000 - 324,000 USD per year
Seattle Metro Area 237,000 - 343,000 USD per year
San Francisco Bay Area 244,000 - 354,000 USD per year
**Salary Range Disclaimer**
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.
**Benefits - Health, Work/Life Harmony, & Wellbeing**
We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at Opportunities and Accommodations Statement**
Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and inclusive environment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other non-merit based or legally protected grounds.
Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To learn more about requesting an accommodation, please visit In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.
For more information about our commitment to equal opportunity/affirmative action, please visit our ESG home page ( & Belonging**
Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.
We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.
Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.
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**Reference ID:** **46207**
**The deadline to apply to this position is (11/5/2025). Job postings may be extended at the hiring team's discretion based on applicant volume.**
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Reference ID: 46207

The team and the role
The Strategic Analytics team is dedicated to delivering actionable insights to finance and operational leaders, empowering them to make data-driven decisions that drive organizational success. By leveraging advanced analytical techniques and cutting-edge technologies, the team transforms complex data into clear, strategic recommendations. Our team members collaborate closely with various departments to understand their unique challenges and opportunities, ensuring that our analyses are both relevant and impactful. Join us to be at the forefront of strategic decision-making, where your analytical skills will directly contribute to shaping the future of our Firm.
Recruiting for this role ends on November 13, 2025
Key Responsibilities
+ Lead large-scale data science projects: Oversee the planning, execution, and delivery of highly complex predictive modeling initiatives that impact firm-wide strategies and practices
+ Strategic analytics & model development: Design, build, and validate predictive models to forecast critical business outcomes, ensuring solutions align with firm leadership's goals
+ Continuous improvement: Identify and implement opportunities to enhance modeling processes, data pipelines, and project methodologies to ensure ongoing innovation, efficiency, and best-in-class results
+ Data stewardship & feature engineering: Direct acquisition, preparation, and enrichment of datasets from diverse sources to maximize model accuracy and relevance
+ Model deployment & impact measurement: Guide integration of predictive models into business operations, set up monitoring systems, and refine models based on real-world feedback
+ Communication & stakeholder management: Translate analytics insights into clear, actionable recommendations for leadership, and deliver compelling visualizations and reports
The successful candidate will possess:
+ Ability to translate analytical findings into strategic business recommendations tailored for firm leadership and decision makers
+ Proven leadership in managing analytics teams or projects, including mentoring, team-building, and overseeing model deployment
+ Exceptional stakeholder engagement, collaboration, and interpersonal skills, with experience liaising between technical and business teams
Qualifications
Required:
+ Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or related field
+ Minimum 8 years in predictive analytics, data science, or related roles
+ Expertise in predictive modeling techniques, including time-series forecasting, ensemble methods, and machine learning algorithms
+ Proficiency with data science programming languages such as Python, R, and SQL, and experience using leading machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost)
+ Strong statistical analysis skills, including hypothesis testing, model validation, and performance measurement
+ Experience with data visualization tools (e.g., Tableau) and ability to communicate complex results in clear, actionable formats for executive stakeholders
+ Demonstrated project management skills, including managing deliverables, prioritizing tasks, and meeting deadlines under pressure
+ Ability to travel 0 - 5%, on average, based on the work you do and the clients and industries/sectors you serve.
+ Limited immigration sponsorship may be available
Preferred:
+ Experience in a professional services firm
+ Expertise in Tableau and DataRobot
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $253,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation:
qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Our client is at the forefront of innovation and is seeking a brilliant and experienced Senior Research Scientist specializing in Artificial Intelligence and Machine Learning. This role offers a unique opportunity to conduct cutting-edge research and development in a stimulating environment located in Las Vegas, Nevada, US . The position involves a hybrid work model, blending focused in-office collaboration with the flexibility of remote work. You will be instrumental in pushing the boundaries of AI, developing novel algorithms, and contributing to groundbreaking products and services. Your work will involve tackling complex theoretical and practical challenges in areas such as deep learning, natural language processing, computer vision, and reinforcement learning.

Key Responsibilities include:

• Conduct original research in AI/ML to develop new algorithms and techniques.
• Design, implement, and evaluate machine learning models and systems.
• Collaborate with engineering teams to integrate research prototypes into production environments.
• Stay current with the latest advancements in AI/ML research and apply them to relevant problems.
• Publish research findings in top-tier conferences and journals.
• Mentor junior researchers and contribute to the scientific community within the organization.
• Develop and maintain high-quality code for research experiments and simulations.
• Contribute to the strategic direction of AI/ML research within the company.
• Analyze large datasets to extract meaningful insights and identify patterns.
• Present research results to both technical and non-technical audiences.

The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, coupled with a strong publication record. Proven experience in developing and deploying ML models is essential. Expertise in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) is required. This role demands a highly motivated and creative individual with a passion for scientific discovery and a knack for solving complex problems. The hybrid nature of this role requires excellent communication and collaboration skills, both in person and remotely. Your contributions will be vital in shaping the future of AI for our client, impacting products and services originating from our Las Vegas, Nevada, US hub.

Location: Anywhere in Country
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
#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 .

Location: Anywhere in Country
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
#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 .

Our client is at the forefront of innovation and is seeking a brilliant AI Research Scientist specializing in Deep Learning to join their pioneering team. While this role is fully remote, you will be collaborating with a world-class team on cutting-edge artificial intelligence research and development. The primary focus will be on designing, implementing, and evaluating novel deep learning algorithms and models for complex problems. Responsibilities include staying abreast of the latest advancements in AI and machine learning, publishing research findings in top-tier conferences and journals, and developing scalable solutions for real-world applications. You will work with large datasets, conduct rigorous experimentation, and contribute to the intellectual property of the company. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record. Demonstrated expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Proficiency in programming languages like Python, along with experience in data manipulation and analysis, is required. Strong theoretical understanding of machine learning algorithms, statistical modeling, and optimization techniques is critical. This remote position requires exceptional self-discipline, excellent communication skills, and the ability to collaborate effectively in a virtual environment. Experience with cloud computing platforms (AWS, Azure, GCP) and distributed training is a plus. We are looking for individuals who are passionate about pushing the boundaries of AI and have a proven track record of innovative research and development. If you are driven by curiosity and possess a deep understanding of the theoretical and practical aspects of deep learning, we encourage you to apply.

Our client is at the cutting edge of AI and technology, seeking an exceptional Machine Learning Engineer to join their fully remote team, based in the vibrant city of Las Vegas, Nevada, US . This role offers an unparalleled opportunity to design, develop, and deploy advanced machine learning models that will drive innovation across our product suite. You will work on challenging problems, leveraging large datasets and state-of-the-art tools to build intelligent systems that shape user experiences and business outcomes.

As a remote-first organization, we cultivate a collaborative and dynamic virtual environment, fostering innovation and continuous learning. You will collaborate with a team of talented data scientists, software engineers, and product managers, contributing to the full lifecycle of machine learning solutions, from conceptualization and experimentation to production deployment and monitoring. This position demands a strong foundation in algorithms, statistical modeling, and software engineering best practices.

Key Responsibilities:

• Design, build, and maintain production-level machine learning models and pipelines.
• Develop and implement scalable ML solutions using Python, TensorFlow, PyTorch, or similar frameworks.
• Work with large datasets, perform feature engineering, and conduct model evaluation.
• Collaborate with data scientists to translate research models into robust, deployable applications.
• Optimize ML models for performance, scalability, and efficiency.
• Implement MLOps best practices for model deployment, monitoring, and retraining.
• Stay abreast of the latest advancements in machine learning and AI research.
• Contribute to the development of internal ML tools and platforms.
• Troubleshoot and resolve issues related to ML model performance in production.
• Participate in code reviews and contribute to a culture of technical excellence.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• 4+ years of hands-on experience in building and deploying machine learning models in production environments.
• Proficiency in programming languages such as Python, and expertise with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Solid understanding of statistical modeling, algorithms, and data structures.
• Experience with MLOps principles and tools is highly desirable.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills, essential for a remote team.
• Ability to work independently and manage project timelines effectively.
• Experience with big data technologies (e.g., Spark) is a plus.

This fully remote role offers a highly competitive salary, comprehensive benefits, and the opportunity to work on groundbreaking AI projects. If you are passionate about building intelligent systems and thrive in a remote, collaborative setting, we want to hear from you.

Our client, a cutting-edge technology firm, is actively seeking a Senior Machine Learning Engineer to join their innovative team in Las Vegas, Nevada, US . This role is pivotal in developing and deploying advanced machine learning models that drive product innovation and enhance user experiences. The ideal candidate will possess a deep understanding of ML algorithms, statistical modeling, and software engineering best practices. You will be responsible for the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment into production environments. This includes designing, implementing, and maintaining scalable ML pipelines and infrastructure. Collaboration is essential; you will work closely with data scientists, software engineers, product managers, and domain experts to translate business requirements into robust ML solutions. Key responsibilities include conducting research on state-of-the-art ML techniques, experimenting with different model architectures, and fine-tuning models for optimal performance. You will also play a crucial role in monitoring model performance in production, identifying drift, and implementing retraining strategies. Experience with distributed computing frameworks, cloud platforms (AWS, Azure, GCP), and MLOps principles is highly valued. The successful applicant will demonstrate strong programming skills (Python, Java, C++), proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn), and experience with big data technologies (e.g., Spark, Hadoop). Excellent problem-solving abilities, a passion for innovation, and strong communication skills to explain complex technical concepts are essential. A Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field, along with a minimum of 5 years of hands-on experience in ML engineering, is required. This is an exceptional opportunity to work on challenging problems and shape the future of AI-driven products. Responsibilities include:

• Designing, developing, and deploying machine learning models and systems.
• Implementing and managing scalable ML pipelines and infrastructure.
• Performing data preprocessing, feature engineering, and model training.
• Evaluating and optimizing model performance using appropriate metrics.
• Collaborating with cross-functional teams to define ML requirements and solutions.
• Researching and applying state-of-the-art ML algorithms and techniques.
• Monitoring deployed models, detecting drift, and implementing retraining strategies.
• Writing production-quality code and participating in code reviews.
• Leveraging cloud platforms and big data technologies for ML workloads.
• Contributing to MLOps best practices and implementation.

Qualifications:

• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 5 years of hands-on experience in machine learning engineering.
• Strong programming skills in Python, and proficiency with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with distributed computing frameworks (e.g., Spark) and cloud platforms (AWS, Azure, GCP).
• Knowledge of MLOps principles and tools.
• Solid understanding of statistical modeling and ML algorithms.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities.
• Experience with big data technologies is a plus.

Our client is seeking a highly accomplished and innovative Senior Machine Learning Engineer to join their cutting-edge AI team in Las Vegas, Nevada, US . This critical role involves designing, developing, and deploying advanced machine learning models and systems that drive intelligent solutions and unlock new business capabilities. The ideal candidate will possess deep expertise in various ML domains, including supervised and unsupervised learning, deep learning, natural language processing, and computer vision, coupled with strong programming skills and experience with MLOps practices. You will be responsible for the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, deployment, and ongoing monitoring. Key responsibilities include collaborating with data scientists and software engineers to translate business problems into ML solutions, architecting scalable ML pipelines, and optimizing model performance for production environments. This position demands exceptional problem-solving abilities, a thorough understanding of statistical modeling, and the capacity to work with large datasets. The Senior Machine Learning Engineer will also play a key role in researching and implementing state-of-the-art ML algorithms, staying abreast of industry trends, and mentoring junior team members. Strong communication skills are essential for presenting complex technical concepts to both technical and non-technical stakeholders. A proven track record of successfully delivering production-ready ML models and systems is a must. This is an unparalleled opportunity to contribute to groundbreaking AI projects and shape the future of intelligent applications. A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field, along with significant experience in ML development and deployment, is required. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn), along with experience in cloud platforms (AWS, Azure, GCP) and big data technologies, is highly desirable.
Responsibilities:

• Design, develop, and deploy sophisticated machine learning models and algorithms.
• Build and optimize scalable ML pipelines for data preprocessing, training, and inference.
• Collaborate with data scientists and engineers to integrate ML solutions into products and services.
• Perform feature engineering, model selection, and hyperparameter tuning.
• Implement and manage MLOps practices for continuous integration, deployment, and monitoring of ML models.
• Evaluate model performance and identify areas for improvement.
• Research and apply state-of-the-art ML techniques to solve complex business problems.
• Mentor junior engineers and contribute to technical knowledge sharing.
• Communicate technical findings and recommendations to stakeholders.
• Ensure ML systems are robust, scalable, and maintainable.

Qualifications:

• Minimum of 5 years of experience in machine learning engineering or data science.
• Proven experience in developing and deploying ML models into production environments.
• Strong programming skills in Python and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Deep understanding of machine learning algorithms, statistical modeling, and data structures.
• Experience with MLOps tools and best practices (e.g., Docker, Kubernetes, CI/CD).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.