Executive Director, Applied ML & GenAI Leader

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

Benefits offered by this job

Competitive compensation

Total rewards package

Benefits program

Job summary

JPMorgan Chase & Co. seeks an Applied ML and Generative AI leader within Corporate Technology to design, build, and run production-grade ML/GenAI services across our corporate functions.

You will stay close to code, set engineering standards, and ensure security and reliability while partnering with stakeholders to explain impact and performance. You will mentor engineers, develop scalable pipelines, and push advancements in NLP with OpenAI APIs and retrieval/generation strategies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field with 10+ years of engineering experience.
• 10+ years of engineering experience including 3+ years building, deploying AI/ML in production.
• Proven leadership in setting technical direction and reviewing designs across multiple teams.

Responsibilities

• Design, develop, and deploy production-grade ML/GenAI services with ownership of reliability.
• Collaborate with product managers, data scientists, and engineers to prioritize use cases.
• Mentor engineers, establish MLOps pipelines, monitoring, and model lifecycle governance.
• Tune generative models for NLP tasks and evaluate architectures for performance.

Skills

Python

Leadership

ML/GenAI systems

Stakeholder communication

MLOps

Education

Bachelor's or Master's in CS/Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

OpenAI API

Docker

Kubernetes

Job description

JPMorgan Chase & Co. seeks an Applied ML and Generative AI leader within Corporate Technology to design, build, and run production-grade ML/GenAI services across our corporate functions.

You will stay close to code, set engineering standards, and ensure security and reliability while partnering with stakeholders to explain impact and performance. You will mentor engineers, develop scalable pipelines, and push advancements in NLP with OpenAI APIs and retrieval/generation strategies.