The vacancy is well-defined in tasks and tech stack but lacks compensation details and company links.
Job description
At the heart of JP Morgan’s AI transformation is the Chief Analytics Office (CAO) — the team responsible for driving the firmwide adoption of artificial intelligence and advanced analytics. The CAO leads the strategy, governance, and delivery of AI/ML products across the company, ensuring that innovation is balanced with responsibility, security, and ethical best practices.
Responsibilities
- Architect and deliver production LLM based systems powering mission-critical LLM Suite products.
- Own end-to-end delivery, performance, and continuous improvement of individual LLM Suite products.
- Bridge advanced AI research with robust engineering to build innovative, production-ready solutions.
- Drive results with an entrepreneurial mindset in a fast-paced, high-impact environment.
Requirements
- PhD or equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline.
- Extensive hands-on experience as an individual contributor in ML engineering, with a proven track record of shipping production AI systems.
- Deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms.
- Practical experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, DeepSpeed.
- Exceptional communication skills.
About JP Morgan Chase
JPMorgan Chase is a global financial services firm providing innovative solutions in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management to consumers, small businesses, corporations, institutions, and governments. With over 200 years of history, it leads in AI research and implementation, including generative AI across 450+ use cases in banking, operations, and more.[1][4]