243 AI & Emerging Technologies jobs in Columbus

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Machine Learning, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
• Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
• Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
• Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
• Promote software and model quality, integrity, and security across the organization

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
• 10 plus years of hands-on experience and expertise in software development frameworks and tools such as Java, Python and JavaScript
• Deep understanding of distributed systems, cloud-native architectures, and modern machine learning technologies
• Experience in cloud platforms such as AWS, GCP, or Azure
• Knowledgeable in machine learning frameworks, ML Ops tools and practices
• Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
• Proficient in building AI Agents(e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
• Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
• Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences
• Hands-on experience with big data, pipeline, orchestration tools and real-time processing frameworks

• Experience working at the code level, with a strong understanding of software development practices
• Certified as AWS Solutions Architect, Certified Developer, or similar certification

Job Description

Do you want to be a part of changing healthcare?

Oracle is excited to be using our resources, knowledge, and expertise-as well as our successes in other industries-and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it's deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care.

Oracle Health Applications & Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you'll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences.

About the Team:

As part of the Oracle Health Foundations Organization, you'll join a high-impact team focused on using machine learning and intelligent automation to improve the performance and reliability of Oracle Health's cloud platforms. We're building systems that detect anomalies, predict incidents, and enable proactive intervention at scale.

As a Senior Machine Learning Engineer, you will play a leading role in shaping the technical direction of our ML systems. You'll be responsible for not only designing and building production-grade models and infrastructure, but also mentoring others, influencing architectural decisions, and driving cross-team collaboration. This is a high-ownership, high-visibility role where you will combine your engineering acumen with applied ML expertise to solve business-critical problems.

Responsibilities

Responsibilities:

• Design and lead the implementation of machine learning systems that detect anomalies, predict incidents, and enable autonomous reliability features in Oracle Health platforms.

• Develop scalable software services that integrate ML models into observability and operations pipelines.

• Own the full ML lifecycle, including data ingestion, model training, validation, deployment, monitoring, and iteration using MLOps best practices.

• Guide architecture decisions around ML infrastructure, data pipelines, model serving, and observability integrations.

• Partner with cross-functional stakeholders (engineering, SRE, product, operations) to align technical solutions with strategic objectives.

• Mentor and provide technical direction to junior engineers and data scientists on modeling, code quality, and deployment best practices.

• Stay current with emerging technologies in ML engineering, anomaly detection, time series, and reliability automation-and lead efforts to evaluate and integrate them.

Requirements:

• 10+ years of experience in applied machine learning, with at least 3+ years in an engineering-heavy role deploying ML models to production at scale.

• Strong software development and system design skills in Python; experience building APIs, services, and production systems.

• Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Proven experience architecting and deploying models in cloud environments (OCI, AWS, GCP, or Azure), with knowledge of CI/CD, containerization, and orchestration (e.g., Docker, Kubernetes).

• Deep knowledge of time series modeling, anomaly detection, and telemetry data (logs, metrics, traces).

• Proficiency in SQL and distributed data tools (e.g., Spark, BigQuery, Flink, or similar).

• Demonstrated ability to drive technical strategy and influence cross-functional direction.

• Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field preferred.

Skills:

• Machine Learning System Design & Deployment

• MLOps, CI/CD Pipelines, Model Monitoring

• Production-Grade Software Engineering (Python, APIs, Services)

• Anomaly Detection & Forecasting with Observability Data

• Scalable Data Pipelines (Streaming and Batch)

• Cloud-Native Architecture (OCI, AWS, GCP)

• Distributed Systems & Data Engineering (Spark, Kafka, etc.)

• Cross-Team Technical Leadership

• Strong Communication & Influence Skills

#LI-REMOTE

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

1. Medical, dental, and vision insurance, including expert medical opinion

2. Short term disability and long term disability

3. Life insurance and AD&D

4. Supplemental life insurance (Employee/Spouse/Child)

5. Health care and dependent care Flexible Spending Accounts

6. Pre-tax commuter and parking benefits

7. 401(k) Savings and Investment Plan with company match

8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

9. 11 paid holidays

10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

11. Paid parental leave

12. Adoption assistance

13. Employee Stock Purchase Plan

14. Financial planning and group legal

15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC5

About Us

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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 – Staff

AI/Machine Learning Engineer, Staff 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 Staff 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

As an AI Native Engineer, you will play a crucial role in the development and implementation of cutting-edge AI solutions. Your time will be spent on the following core responsibilities:

• Contributing to the delivery of processes, solutions, and projects by researching and presenting relevant information to inform recommendations.

• Engaging in live interactions with project teams and clients to define deliverables, which constitutes approximately 80% of your time.

• Actively participating in client working sessions and supporting opportunities for additional services.

This role may require regular travel as needed by external clients, providing you with the opportunity to engage directly with clients and enhance your professional network.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions based on 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, evaluate, and optimize learning processes to continuously improve high-performance models.

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.

Skills and attributes for success

To excel in this role, you will need a blend of technical 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

The following attributes will make a significant impact:

• Strong computational thinking and programming skills.

• Proficiency in deep learning, machine learning, and data architecture design.

• Ability to communicate effectively and build relationships with clients.

• Demonstrated emotional agility and learning agility in a fast-paced environment.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 1 - 2 years of relevant experience in AI and/or Machine Learning.

The ideal candidate will possess the following specialized skills:

• Deep learning expertise.

• Strong mathematics, statistics, and operations research background.

• Familiarity with continuous integration and continuous delivery/deployment practices.

• Ability to drive outcomes through complex problem-solving and critical thinking.

• 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 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.

• 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 communicating with impact.

• A proactive approach to learning and adapting to new technologies.

• A passion for driving innovative solutions in a team environment.

• 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 adaptability, creativity, and a collaborative spirit. Top performers are those who embrace challenges, think critically, and are committed to continuous learning and improvement.

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 $76,200 to $25,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is 91,400 to 142,600. 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 .

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), AI Platform, Core Automation, and Infrastructure.

The AI Platform Team is a dynamic and ambitious group focused on building centralized AI infrastructure and acceleration solutions that drive productivity, innovation, and customer impact across Coinbase. Our mission is to accelerate AI adoption, enhance team efficiency, and deliver exceptional customer experiences by embedding growth pods directly within teams across the organization. As a Machine Learning Engineer on our team, you will play a pivotal role in this transformation, leveraging cutting-edge AI models, frameworks, and tools, as well as diverse and extensive data sources—including blockchain data. Your work will focus on lowering the barriers to cryptocurrency adoption while shaping the future of AI-powered interactions. This includes enhancing recommendations, chatbots, and other intelligent features to make our products more intuitive, accessible, and user-friendly.

What you’ll be doing (ie. job duties) :

• Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization.

• Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.

• Drive project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise.

• Develop high-quality, well-tested Python code to address critical product and business needs.

• Design scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices.

• Mentor team members on design principles, coding standards, and the adoption of AI productivity tools.

• Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.

• Ensure the security, scalability, and architectural integrity of feature designs through thorough reviews across teams.

What we look for in you (ie. job requirements) :

• 10+ years of experience in machine learning and software engineering.

• Proven expertise in designing, building, scaling, and maintaining production services, with a strong focus on data processing/machine learning/analytics.

• Hands-on experience with at least one ML model type, such as LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees.

• Proficiency in one or more areas, including data mining, information retrieval, advanced statistics, natural language processing, or computer vision.

• Ability to write high-quality, well-tested code that effectively addresses customer needs.

• Experience mentoring and developing junior engineers by implementing processes and setting a high standard for excellence.

• Passion for building an open financial system that connects the world.

• Exceptional written and verbal communication skills, with a commitment to open and transparent cultural practices.

Nice to haves :

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.

• Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks.

• Familiarity with model interpretability and responsible AI practices.

• Expertise in data analysis and visualization.

Job ID: GPML06US

Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).

Pay Range:

$218,025—$256,500 USD

Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.

Commitment to Equal Opportunity

Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.

Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations(at)coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).

Global Data Privacy Notice for Job Candidates and Applicants

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.

AI Disclosure

For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.

For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.

The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment . To request a reasonable accommodation due to disability, please contact accommodations(at)coinbase.com

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

About Crowe AI

Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art machine learning, modern architectures, and industry experts, to create AI-powered solutions that transform the way we do business.

As a member of AI Engineering, you are a builder excited to realize an AI idea's impact at scale, distinguishing Crowe in the market and driving the firm's technology and innovation strategy.

About the Team

• We foster good science . You are given the time and resources to build your expertise in your project and beyond; you will guide fellow MLEs and product stakeholders through your work.

• We want to make good scientists better . MLEs have plenty of options on the job market. We want to be one of the best. We have regular ethics and book club meetings, monthly lightning talks where team members teach each other, support for conferences, and weekly "10P" independent time for ongoing learning.

• We truly value work-life balance. Our distributed team offers unlimited PTO and a flexible work-from-home policy. We actively discourage weekend and off-hours work (unless that's genuinely your thing).

About the Role

• You will be responsible for developing and maintaining scalable APIs and Kubernetes environments that support the deployment and operation of machine learning models at Crowe. Your role is crucial in ensuring that our AI solutions are robust, efficient, and meaningfully transform business offerings.

• Design and development of backend services supporting AI workloads, including REST/gRPC APIs, job orchestration, asynchronous task processing, data/model lifecycle management, and service-to-service communication.

• Design, build, and maintain scalable and robust APIs that integrate with Crowe's machine learning models.

• Deploy and manage Kubernetes environments to ensure the reliable operation of our AI systems.

• Collaborate with Machine Learning Engineers teams to take AI solutions from Proof of Concept to production readiness.

• Implement system architectures that support scaling and distributed computing needs.

• Ensure the stability and security of AI deployments through design and execution of rigorous testing and monitoring.

Required Skills

• 4-8 years' experience maintaining production-grade APIs.

• Software engineering experience in a production environment, with a strong background in system design and architecture.

• Expertise in programming languages such as Python and JavaScript . You're experienced writing scalable, production-level code sufficient to thoroughly review code and mentor on general programming best practices.

• Solid understanding of scaling strategies and distributed computing principles.

• Demonstrated interface savviness, including experience creating and interacting with RESTful HTTPS API's, websockets, and webhooks.

• Experience with at least one Cloud Computing platform (experience with Microsoft Azure a plus).

• Experience with serverless functions, e.g., OpenFaaS

Preferred Skills

• Power Platform, Azure AI Studio, and other Microsoft stack exposure for AI solution deployment.

• Certified Kubernetes Application Developer (CKAD) certification or similar credentials.

• Demonstrated commitment to DevOps best practices and continuous improvement.

• You want to stay fresh with regards to practicing engineering. Continuous improvement is a mantra for you as any system you work with gradually improves over time.

• You enjoy machine learning. You've gone deeper than reading blog posts and playing around with ChatGPT.

#Remote

We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.

Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great peopleare what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!

How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!

More about Crowe:
Crowe ( is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.

Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.

Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.

• Collaborate with stakeholders to understand business objectives and define requirements for anomaly detection.
• Develop, optimize, and maintain computational models for debit transaction anomaly detection using AI/ML techniques.
• Perform data analysis, generate insights, and identify patterns to support decision-making.
• Design and implement statistical models, including standard deviation calculations, variance thresholds, and probabilistic models to enhance anomaly detection accuracy.
• Work with existing models to apply backtracking methodologies and improve anomaly reduction strategies.
• Leverage machine learning algorithms (e.g., classification, clustering, time-series modeling) to predict, detect, and manage anomalies.
• Collaborate with engineers and business teams to integrate models into production systems.
• Conduct performance monitoring, fine-tuning, and validation of ML models to ensure accuracy and reliability.
• Prepare technical documentation, visualizations, and reports to communicate findings effectively to business and technology stakeholders.

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 10+ years of hands-on experience in data science, AI, or ML engineering.
• Strong proficiency in Python, R, or Scala with experience using data science libraries (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
• Solid understanding of Data Science with a heavy focus on statistical modeling and Machine Learning, hypothesis testing, regression analysis, and variance modeling.
• Experience with anomaly detection techniques - supervised, unsupervised, and hybrid approaches.
• Experience in Generative AI based implementations.
• Expertise in working with large datasets using SQL, Spark, or similar data-processing frameworks.
• Strong problem-solving, analytical thinking, and communication skills.
• Experience in deploying ML models into production environments, MLOps, preferably on AWS

The Senior Principal AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloadsincorporating the latest research in generative AI and large language modelsand leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML workflows.

Responsibilities:

• Evaluate, integrate, and optimize state-of-the-art technologies across the stack, for latency, throughput, and resource utilization for training and inference workloads.
• Guide strategic decisions around Oracle Cloud's AI Infra offerings
• Design and implement scalable orchestration for serving and training AI/ML models, Model Parallelism & Performance across the AI/ML Stack
• Explore and incorporate contemporary research on generative AI, agents, and inference systems into the LLM software stack.
• Lead initiatives in Generative AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine-tuning
• Design and develop scalable services and tools to support GPU-accelerated AI pipelines, leveraging Kubernetes, Python/Go, and observability frameworks.

Qualifications:

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Machine Learning, or a related field (or equivalent experience).
• Experience with Machine Learning and Deep Learning concepts, algorithms and models
• Proficiency with orchestration and containerization tools like Kubernetes, Docker, or similar.
• Expertise in modern container networking and storage architecture.
• Expertise in orchestrating, running, and optimizing large-scale distributed training/inference workloads.
• Have deep understanding of AI/ML workflows, encompassing data processing, model training, and inference pipelines.
• Experience with parallel computing frameworks and paradigms.
• Strong programming skills and proficiency in major deep learning frameworks.

Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

• Medical, dental, and vision insurance, including expert medical opinion
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• Health care and dependent care Flexible Spending Accounts
• Pre-tax commuter and parking benefits
• 401(k) Savings and Investment Plan with company match
• Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits.
• 11 paid holidays
• Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal
• Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4

About Us: As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@ or by calling in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

• 7+ years building and scaling production ML systems with measurable business impact
• Experience deploying ML systems serving 100M+ predictions daily
• Strong background in ranking algorithms (collaborative filtering, learning-to-rank, deep learning)
• Proficiency with Python and ML frameworks (TensorFlow or PyTorch)
• Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes
• Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks
• Track record of improving business KPIs via ML-powered personalization
• Experience with A/B testing platforms and experiment logging best practices

• Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale
• Enhance data processing pipelines (Spark, Beam, Dask) with efficiency and reliability improvements
• Design ranking algorithms that balance relevance, diversity, and revenue
• Deliver real-time personalization with latency <50ms across key product surfaces
• Run statistically rigorous A/B tests to measure true business impact
• Optimize for latency, throughput, and cost efficiency in production
• Partner with product, engineering, and analytics to launch high-impact personalization features
• Implement monitoring systems and maintain clear ownership for model reliability

• Technical Mastery: You know ML architecture, deployment, and tradeoffs inside out
• Experimentation Infrastructure: You set up systems for rapid testing and retraining (MLflow, W&B)
• Impact-Driven: You design models that move revenue, retention, or engagement
• Collaborative: You thrive working with engineers, PMs, and analysts to scope features
• Analytical Thinking: You break down data trends and design rigorous test methodologies
• Ownership Mentality: You own your models post-deployment and continuously improve them
• Execution-Oriented: You deliver production-grade systems quickly without sacrificing rigor
• Curious & Innovative: You stay on top of ML advances and apply them to personalization

Become a part of our caring community and help us put health first

The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence.

We are building advanced agentic systems capable of autonomously managing and decomposing complex goals. We are seeking an expert in agent design, planning, and control to develop and evaluate agents that can set, adapt, and execute goals in dynamic, real-world environments. You’ll contribute to the scientific and engineering foundations that make AI agents reliable, interpretable, and robust across long-horizon tasks.

Key R esponsibilities

• Architect goal setting and goal decomposition mechanisms for autonomous agents operating in uncertain or open-ended environments

• Design and implement dynamic planning systems (e.g., hierarchical planning, curriculum learning, scratchpad/self-refinement loops)

• Collaborate on memory, tool-use, and feedback-loop designs enabling multi-step, self-directed agent behavior

• Develop evaluation frameworks for alignment with human intent, consistency, progress against long-horizon objectives

• Prototype agents that interface with APIs, MCP servers, search engines, databases, or real-world actuators to pursue goals safely and efficiency

• Explore mechanisms to detect and mitigate goal misalignment, looping behavior, or undesirable emergent strategies

• Work across teams to integrate goal alignment with safety, alignment, and operational reliability mechanisms

Technical skills

• Proficiency in SQL, Python, and data analysis/data mining tools.

• Experience with machine learning frameworks like Pytorch, Jax, LangChain, LangGraph or AutoGen

• Experience with high performance, large-scale ML systems

• Experience with language modeling with transformers

• Experience with symbolic planning, causal reasoning, and model-based RL

• Experience with large-scale ETL

Use your skills to make an impact

Required Qualifications

• Master's Degree and 4+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions

• 2+ years of experience leading development of AI/ML systems

Preferred Qualifications

• Ph.D. in Computer Science, Data Science, Machine Learning, or a related field

• Demonstrated experience shipping autonomous, or semi-autonomous agents in production or simulation

• Experience with LLM-based agents with scratchpad/self-reflection or hierarchical task decomposition

• Understanding of autonomy risk mitigation strategies, including off-switch protocols, or bounded rationality

Additional Information

Location/Work Style: Remote US

Why Humana?

At Humana, we know your well-being is important to you, and it’s important to us too. That’s why we’re committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:

• Work-Life Balance

• Generous PTO package

• Health benefits effective day 1

• Annual Incentive Plan

• 401K - Excellent company match

• Well-being program

• Paid Volunteer Time Off

If you share our passion for helping people, we likely have the right place for you at Humana.

Work at Home Guidance

To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

• At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

• Satellite, cellular and microwave connection can be used only if approved by leadership

• Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

• Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

• Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

SSN Alert Statement

Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from with instructions on how to add the information into your official application on Humana’s secure website.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$142,300 - $195,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline:

About us

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our