Applied AI/ML Lead - GenAI & Production ML Systems

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 180,000 - 250,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Applied AI ML Lead within the Chief Data & Analytics Office in Jersey City. You will guide design, development, and deployment of GenAI and large language models, collaborating with cross-functional teams to scale production systems.

You will mentor engineers, advance MLOps, and uphold responsible AI governance while leveraging cutting-edge cloud and GPU infrastructure to deliver impactful banking solutions.

Qualifications

• Master’s or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
• 8+ years hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
• At least 5 years of Python programming; experience with PyTorch or TensorFlow.
• 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).
• Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
• Demonstrated leadership in working with engineers, product managers, and other ML practitioners.
• Experience applying data science and ML techniques to solve business problems.

Responsibilities

• 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.
• Identify and resolve inefficiencies to optimize system accuracy and performance.
• Communicate technical concepts and results to technical and business stakeholders.
• Ensure responsible AI practices, model governance, and regulatory compliance.
• Mentor and guide other AI engineers and scientists, fostering continuous learning.

Skills

Python programming

Communication

Leadership

Generative AI

ML concepts

Education

Master’s or PhD in CS/Engineering/Math

Tools

PyTorch

TensorFlow

MLflow

Kubernetes

Ray

Slurm

CI/CD for ML

Job description

JPMorgan Chase & Co. is seeking an Applied AI ML Lead within the Chief Data & Analytics Office in Jersey City. You will guide design, development, and deployment of GenAI and large language models, collaborating with cross-functional teams to scale production systems.

You will mentor engineers, advance MLOps, and uphold responsible AI governance while leveraging cutting-edge cloud and GPU infrastructure to deliver impactful banking solutions.