Hands-On Applied ML & GenAI Production Lead

JPMorganChase; Jersey City (NJ); On-site; USD 180,000 - 250,000; Full time

Job summary

JPMorganChase is seeking an Applied ML and Generative AI leader within our Corporate Technology team. You will design, build, and run production-grade ML/GenAI services across corporate functions, ensuring security, stability, and operational rigor.

You will partner with product managers, data scientists, and engineers to deliver scalable solutions, mentor engineers, and drive MLOps maturity, model monitoring, and governance across multiple workstreams.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field, with 10+ years of engineering experience.
• 3+ years building, deploying, and operating applied AI/ML systems in production (model lifecycle, MLOps, monitoring, governance).
• Hands-on engineering leadership: setting technical direction, architecture decisions, design reviews, mentoring junior engineers, and guiding implementation quality across multiple workstreams.
• Proficiency in Python for model development, experimentation, and OpenAI API integration.
• Experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn) and OpenAI API.
• Cloud platforms (AWS, Azure, or Google Cloud), Docker/Kubernetes, and microservices design.

Responsibilities

• Provide hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability.
• Work closely with product managers, data scientists, ML engineers, and stakeholders to understand requirements and prioritize use cases.
• Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, establishing MLOps capabilities (deployment, monitoring, model lifecycle).
• Implement optimization strategies to fine-tune generative models for NLP use cases, ensuring high-quality outputs.
• Evaluate generative models (e.g., GPT-4.1), iterate on architectures, and improve overall NLP performance.
• Implement monitoring to track model performance in real-time and ensure reliability.
• Communicate AI/ML/GenAI capabilities and results to both technical and non-technical audiences; stay updated with AI research and external APIs.

Skills

Python

ML Frameworks

OpenAI API

Cloud Platforms

Docker & Kubernetes

MLOps

Model Lifecycle

Leadership

Stakeholder Communication

NLP

Education

Bachelor's or Master's in CS/Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

OpenAI API

Docker

Kubernetes

Job description

JPMorganChase is seeking an Applied ML and Generative AI leader within our Corporate Technology team. You will design, build, and run production-grade ML/GenAI services across corporate functions, ensuring security, stability, and operational rigor.

You will partner with product managers, data scientists, and engineers to deliver scalable solutions, mentor engineers, and drive MLOps maturity, model monitoring, and governance across multiple workstreams.