JPMorgan Private Client Banker - Jacksonville Beach FL 

United States, Florida 

743787635

As an Applied AI ML Lead within our Applied AI organization, you will ensure the smooth operation and optimization of our LLM-aided AI products. Collaborate with cross-functional teams to foster innovation and deliver scalable solutions.

Job Responsibilities

• Combine vast data assets with cutting-edge AI, including LLMs and Multimodal LLMs.
• Bridge scientific research and software engineering, requiring expertise in both domains.
• Collaborate closely with cloud and SRE teams while leading the design and delivery of production architectures.

Required Qualifications, Capabilities, and Skills

• PhD in a quantitative discipline, e.g., Computer Science, Mathematics, Statistics.
• Experience in an individual contributor role in ML engineering.
• Proven track record in building and leading teams of experienced ML engineers/scientists.
• Solid understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms.
• Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.).
• Ability to understand and align with business expectations, and write clear and concise OKRs (Objectives and Key Results).
• Experience as a "Responsible Owner" for ML services in enterprise environments.

Preferred Qualifications, Capabilities, and Skills

• Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray).
• Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints.
• Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models.
• Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.