Drimva

JPMorgan Chase

Applied AI/ML Lead

$171K–$260K

Jersey City, NJ · Full-time · Posted Oct 8, 2026

Experience
6+ years of hands-on experience building and deploying ML/AI models in production settings.
Education
Master's degree in Computer Science, Machine Learning, Data Science, Engineering, Mathematics, or a related quantitative field (or equivalent practical experience).

About the job

Leads hands-on development and production delivery of AI/ML solutions for market surveillance and regulatory compliance, while guiding projects and junior engineers.

What you'll do

  • Develop, evaluate, and fine-tune ML, deep learning, and LLM models across the model lifecycle.
  • Build and maintain production ML/data pipelines, integrate AI services, and monitor model quality, drift, bias, and performance.
  • Lead projects end to end and collaborate across teams, including technical documentation and mentorship.

What they ask for

  • Master's degree in a related quantitative field or equivalent practical experience.
  • 6+ years of hands-on experience building and deploying ML/AI models in production.
  • Proficiency in Python, SQL, relational databases, Linux, and AI/ML frameworks; experience with generative AI/LLMs and RAG.
  • Experience with MLOps, a major cloud platform, and software engineering practices, including Docker, Kubernetes, CI/CD, Git, testing, and API design.

Nice to have

  • Experience with vector databases, agentic AI frameworks, or LLM evaluation methodologies.
  • Exposure to responsible AI, model risk management, regulated-industry AI deployment, or distributed data processing such as Spark.

Pay

$171,000.00-$260,000.00 USD base salary

Tools

Python, SQL, Linux, scikit-learn, PyTorch, SmartSDK, Docker, Kubernetes

AI focus

Develops and productionizes ML, deep learning, and LLM systems, including generative AI, prompt engineering, fine-tuning, embeddings, RAG, agentic frameworks, and responsible AI/model monitoring.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)