Data Scientist Lead Applied AI ML
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Job Location:
Monthly Salary:
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
As a Lead Data Scientist with the Chief Data Office youll help shape the future of the Chief Administrative Office and its businesses by applying world-class machine learning expertise. Youll 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. Youll use data and analysis to identify and solve our divisions 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) youll 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
- Masters 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.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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 ov ... View more
