Applied AI ML Senior Associate, Chief Data & Analytics Office

Job Description

Join a world‑class data science team at JPMorgan Chase and help shape the future of our Chief Administrative Office. As a leader in applied AI and machine learning, you will work on high‑impact projects that influence the way we do business across multiple domains. Collaborate with talented colleagues, leverage cutting‑edge technologies, and see your work make a tangible difference. We value curiosity, technical excellence, and a passion for solving complex problems.

If you’re ready to accelerate your career and drive meaningful change, we want to hear from you.

• Lead the hands‑on design, development, and deployment of advanced AI, GenAI, and large language model solutions.
• Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
• Collaborate with product, engineering, and business teams to deliver scalable, production‑ready AI systems.
• Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance.
• Own end‑to‑end code development in Python for both proof‑of‑concept and production‑ready solutions.
• Integrate generative AI within the ML platform using state‑of‑the‑art techniques.
• Drive adoption of modern ML infrastructure, tools, and best practices.
• Optimize system accuracy and performance by identifying and resolving inefficiencies.
• Communicate technical concepts and results to both technical and business stakeholders.
• Ensure responsible AI practices, model governance, and compliance with regulatory standards.

• Master’s or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Minimum 3 years of hands‑on experience in applied machine learning, including generative AI, large language models, or foundation models.
• Experience programming in Python and with ML frameworks such as PyTorch or Tensor Flow.
• Proven experience designing, training, and deploying large‑scale ML/AI models in production environments.
• Understanding of prompt engineering, agentic workflows, and orchestration frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
• Grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
• Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
• Experience applying data science and ML techniques to solve business problems.
• Passion for detail, follow‑through, and technical excellence.

• Experience with high‑performance computing and GPU infrastructure (e.g., NVIDIA DCGM, Triton Inference).
• Familiarity with big data processing tools and cloud data services.
• Experience with building and deploying ML models on cloud platforms such as AWS Sagemaker, EKS, etc.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers, and employees up for success.

JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses, and many of the world’s most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. We provide a competitive total rewards package, including base salary, commission‑based pay and/or discretionary incentive compensation, and a range of benefits such as comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more.

These benefits are offered based on eligibility.

JPMorgan Chase & Co. is an equal‑opportunity employer and places a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

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