Search by job, company or skills

JP Morgan Chase & Co.

Applied AI ML Lead - ML assisted Surveillance

5-7 Years
new job description bg glownew job description bg glownew job description bg svg
  • Posted 3 days ago
  • Be among the first 10 applicants
Early Applicant

Job Description

We have an exciting opportunity for you to advance your engineering leadership career and drive innovation in ML-powered solutions.

As an Applied AI ML Lead in the Surveillance Product Team, you will guide and coach teams to deliver high-quality, cloud-native, ML-powered business applications. You will foster a culture of engineering excellence and compliance, collaborating across functions to achieve strategic goals.

Job responsibilities

  • Coach teams on design rigor, testing strategies, and SRE mindset to ensure operational readiness.
  • Drive a culture of ownership, engineering excellence, and compliance-first thinking.
  • Own end-to-end delivery of the product roadmap through Agile planning and risk mitigation.
  • Build and productionize ML and LLM-based detection and alerting features, ensuring feedback loops for model improvement.
  • Partner with Architecture and senior engineers to influence system design and ensure architectural consistency.
  • Enforce operational maturity and DevOps culture to eliminate production toil.
  • Collaborate cross-functionally with Product, Compliance, Data Science, and SRE teams to ensure risk and operational excellence.

Required qualifications, capabilities, and skills

  • 5+years of experience as a Machine Learning Engineer and two years in people management roles.
  • Proven experience leading cloud-native, data-intensive product engineering teams.
  • Experience building and delivering ML-powered business applications using public cloud providers such as AWS, Azure, or GCP.
  • Experience in regulated or compliance-driven domains such as fintech, surveillance, or risk.
  • Strong foundation in Information Retrieval, Natural Language Processing, Classification, and vector similarity search.
  • Experience integrating models into cloud-scale, distributed systems and microservices architectures.
  • Excellent verbal and written communication skills, able to explain technical and ML concepts to non-technical stakeholders.

Preferred qualifications, capabilities, and skills

  • Experience in Data Science and data pipelines.
  • Exposure to Data Bricks.
  • Familiarity with vector search, embeddings, RAG patterns, model explainability, and auditability concepts.
  • Operational experience supporting enterprise-grade ML applications in production.

More Info

About Company

JPMorgan Chase Bank, N.A., doing business as Chase Bank or often as Chase, is an American national bank headquartered in New York City, that constitutes the consumer and commercial banking subsidiary of the U.S. multinational banking and financial services holding company, JPMorgan Chase

Job ID: 140899129