Data Scientist Lead - Applied AI ML
Aumni
As a Lead Data Scientist with the Chief Data Office, you’ll help shape the future of the Chief Administrative Office and its businesses by applying world-class machine learning expertise. You’ll collaborate on a wide array of product and business problems with cross-functional partners across Finance, Supplier Services, Data Security, Global Real Estate, and Customer Experience. You’ll use data and analysis to identify and solve our division’s biggest challenges and develop state-of-the-art GenAI and LLM models to solve real-world problems. By joining JP Morgan Chief Data Office (CAO), you’ll be part of a world-class data science community dedicated to problem solving and career growth in ML/AI and beyond.
Job Summary
- Lead hands-on development and technical direction for GenAI, LLM, and agentic AI solutions.
- Collaborate with cross-functional teams to deliver scalable, production-ready AI systems.
- Drive adoption of modern ML infrastructure and best practices.
- Communicate technical concepts and results to both technical and business stakeholders.
- Ensure responsible AI practices and model governance.
Job Responsibilities
- Master’s or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
- 10+ years of hands-on experience in applied machine learning, including GenAI, LLMs, or foundation models.
- Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX).
- Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
- Deep understanding of prompt engineering, agentic workflows, and orchestration frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
- Solid grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
- Ability to communicate complex technical concepts to both technical and business stakeholders
Preferred Qualifications
- Experience with high-performance computing and GPU infrastructure (NVIDIA DCGM, Triton Inference).
- Familiarity with big data processing tools and cloud data services.
- Background in financial services or regulated industries.
- Published research or contributions to open-source GenAI/LLM projects.
JPMorganChase, 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. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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. Visit our FAQs for more information about requesting an accommodation.
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.
Drive innovation by building advanced AI and machine learning products for real-world problem solving