Senior Applied AI & ML Lead: From Idea to Production

JP Morgan Chase; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Job summary

JPMorganChase is seeking an Applied AI and Machine Learning Lead within the AI and Machine Learning and Data Platform team in Corporate Sector. You will design and deliver ML and deep learning solutions, guiding problem framing, experimentation, and productionization to solve meaningful business problems.

You will mentor others, uphold strong engineering practices, and raise the technical bar, with emphasis on robust, scalable, and measurable outcomes across the platform.

Qualifications

• MS and/or PhD in Computer Science, Machine Learning, or a related field.
• At least 5 years of applied machine learning experience.
• Experience with Python and at least one of Java/C/C++.
• Strong knowledge of ML algorithms, frameworks, and techniques.
• Experience with large language models (LLMs) and agentic AI methods.

Responsibilities

• Serve as SME on ML techniques and optimizations.
• Provide in-depth knowledge of ML algorithms, frameworks, and techniques.
• Enhance ML workflows with LLMs and related techniques.
• Conduct experiments to evaluate and benchmark AI methods.
• Hands-on coding in Python from POC to production solutions.
• Optimize system accuracy and performance; collaborate with product/engineering.
• Integrate Generative AI within the ML Platform.
• Drive decisions influencing product design and operations.

Skills

Python

Java/C++

LLMs

Deep learning

PyTorch

TensorFlow

Leadership

Education

MS/PhD in CS/ML

Tools

PyTorch

TensorFlow

AWS SageMaker

EKS

Job description

JPMorganChase is seeking an Applied AI and Machine Learning Lead within the AI and Machine Learning and Data Platform team in Corporate Sector. You will design and deliver ML and deep learning solutions, guiding problem framing, experimentation, and productionization to solve meaningful business problems.

You will mentor others, uphold strong engineering practices, and raise the technical bar, with emphasis on robust, scalable, and measurable outcomes across the platform.