Applied AI/ML Lead for Enterprise Data & Analytics

Next Frontier Capital; Jersey City (NJ); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Applied AI ML Lead to spearhead development and deployment of innovative AI and ML solutions within the Chief Data & Analytics Office.

You will collaborate across product, engineering, and business teams to deliver scalable, production-ready AI systems and ensure responsible AI governance. You will mentor engineers and scientists, drive modern ML infrastructure adoption, and communicate complex results to diverse stakeholders while maintaining high

Qualifications

• Master’s or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Minimum 8 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
• At least 5 years of experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow.

Responsibilities

• Lead hands-on design, development, and deployment of advanced AI, GenAI, and LLM solutions.
• Serve as SME on ML techniques and optimizations.
• Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems.
• Own end-to-end code development in Python for concept to production solutions.
• Drive adoption of modern ML infrastructure, tools, and best practices.

Skills

Applied ML

Generative AI

Python

Leadership

Cloud platforms

Education

Master’s/PhD in CS/Engineering/Math

Tools

PyTorch

TensorFlow

Kubernetes

Ray

Slurm

Job description

JPMorgan Chase & Co. is seeking an Applied AI ML Lead to spearhead development and deployment of innovative AI and ML solutions within the Chief Data & Analytics Office.

You will collaborate across product, engineering, and business teams to deliver scalable, production-ready AI systems and ensure responsible AI governance. You will mentor engineers and scientists, drive modern ML infrastructure adoption, and communicate complex results to diverse stakeholders while maintaining high