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Senior ML role at a reputable global insurer in Bangalore with niche LLM requirements yields moderate competition.
Advanced ML/LLM engineering skills are transferable, though insurance domain experience is beneficial.
Explicit 10+ years and mandatory LLM, deployment, and CI/CD skills make shortlisting stringent.
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Design, build and test advanced machine learning models to solve complex business challenges in the claims AI domain.
Research and implement state-of-the-art AI modeling approaches including zero-shot/few-shot learning and embedding techniques.
Develop reusable tools to streamline ML pipelines and manage stakeholder communications and project progress.
Minimum 10 years experience in Machine Learning with expertise in Python production code development and review.
Experience with LLM tooling/frameworks such as LangChain and LlamaIndex.
Proven skills in designing scalable end-to-end ML/NLP systems and knowledge of distributed, high throughput, low latency architectures.
Experience with container technologies (Kubernetes, Docker), FastAPI, Uvicorn, and CI tools like Jenkins.
Senior-level AI engineering professional with deep expertise in production-grade ML system design and development.
Experienced in advanced NLP techniques including text preprocessing, entity extraction, encoder-decoder architectures, and similarity matching.
Comfortable working in a fast-paced environment with shifting priorities while delivering high-quality, scalable AI products.