Applied AI ML Lead ML assisted Surveillance
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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
- 5years 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.
Key Skills
- Administrative Skills
- Facilities Management
- Biotechnology
- Creative Production
- Design And Estimation
- Architecture
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
