JPMorganChase is looking to revolutionize the future of data and AI by shaping firmwide adoption of artificial intelligence, with a focus on building, scaling, and optimizing advanced AI/ML products to drive real business outcomes.
Requirements
- Proven experience working with teams of ML engineers or scientists
- Strong foundation in statistics, optimization, and ML theory (NLP and/or Computer Vision)
- Hands-on experience with agent based workflows, MCP, RAG and context engineering
- Experience as a responsible owner for ML services in enterprise environments
- Excellent grasp of computer science fundamentals and SDLC best practices
- Ability to construct batch and streaming microservices with gRPC and/or GraphQL endpoints
- Demonstrated expertise in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLMs
Responsibilities
- Lead the design and delivery of production architectures for AI and ML products
- Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs
- Bridge scientific research and software engineering to deliver robust solutions
- Collaborate with cloud and SRE teams to optimize system performance
- Develop scalable APIs with clear separation of concerns and well-defined interfaces
- Foster innovation and continuous improvement across cross-functional teams
- Ensure solutions meet business objectives and deliver high Return-on-Investment
Other
- PhD in Computer Science, Mathematics, Statistics, or related quantitative discipline
- Minimum 5 years as an individual contributor in ML engineering
- Ability to write clear and concise OKRs and align with business expectations
- Strong communication skills for technical and non-technical stakeholders
- Demonstrated ability to build trust and foster collaboration
