Applied AI/ML Lead: Production-Ready GenAI & ML Systems

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

Job summary

JPMorganChase in Jersey City seeks an Applied AI/ML Lead to apply advanced machine learning to production-ready systems across Cybersecurity, Software, and Infrastructure. You will partner with business and platform teams to deploy scalable solutions and push the frontiers of GenAI and reinforcement learning.

The role emphasizes hands-on deep learning, MLOps, and building robust pipelines, with a strong bias toward research-driven, real-world impact.

Qualifications

• PhD or MSc in a quantitative discipline.
• Extensive experience with large language models (LLMs) and accompanying tools & techniques.
• Strong AI Engineering skills and experience - core technical, software, and application-building skills.
• Hands‑on experience and solid understanding of machine learning and deep learning methods.
• Extensive experience with machine learning and deep learning toolkits (TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Scientific thinking and the ability to invent.
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with big data and scalable model training
• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
• Curious, hardworking and detail-oriented, and motivated by complex analytical problems
• Ability to work both independently and in highly collaborative team environments

Responsibilities

• Build and maintain production-ready AI/ML services and pipelines with robust deployment, monitoring, and reliability.
• Develop state-of-the-art ML models to solve real-world problems in Cybersecurity, Software and Technology Infrastructure
• Collaborate with partner teams to deploy solutions into production
• Drive firmwide initiatives by developing large-scale frameworks to accelerate ML adoption
• Contribute to reusable code and components shared internally and externally
• Research and explore new ML methods via independent study and experimentation

Education

PhD or MSc in a quantitative discipline

Hands-on ML/DL methods

Strong AI Engineering skills

Experience with ML/DL toolkits (TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)

Experience with large language models (LLMs) and related tools

Big data & scalable model training

Experiment design & metrics evaluation

Excellent communication (technical & business)

Tools

LangChain

LangGraph

Vector databases

Open-source Models

RAG

Agentic Systems & Workflows

CI/CD & MLOps tooling

Job description

JPMorganChase in Jersey City seeks an Applied AI/ML Lead to apply advanced machine learning to production-ready systems across Cybersecurity, Software, and Infrastructure. You will partner with business and platform teams to deploy scalable solutions and push the frontiers of GenAI and reinforcement learning.

The role emphasizes hands-on deep learning, MLOps, and building robust pipelines, with a strong bias toward research-driven, real-world impact.