Applied AI ML Lead

JPMorgan Chase Bank

9 - 12 years

35 - 40 Lacs

Bengaluru

Posted:1 week ago| Platform:

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Skills Required

Computer vision Cloud Mathematics Research Individual Contributor Statistics Analytics microservices

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

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