JPMorgan Applied AI ML Lead 

India, Karnataka, Bengaluru 

78675782

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.