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Tier-1 brand and metro location increase competition, but senior specialized ML role limits applicant density.
Requires deep ML/LLM and production engineering expertise, making cross-industry transfers difficult.
Explicit 10+ years requirement plus mandatory LLM, production ML, Kubernetes and CI tooling enforces strict filters.
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Design, build, and test advanced machine learning and NLP models to solve complex business problems within insurance.
Research and implement state-of-the-art AI techniques, including zero-shot/few-shot learning and embedding methods.
Develop reusable tools to streamline ML pipelines, ensure high-quality production code, and manage stakeholder communications on project progress.
10+ years of experience in Machine Learning with expertise in Python production code development.
Experience with Large Language Model (LLM) tooling and frameworks such as LangChain and LlamaIndex.
Knowledge of scalable end-to-end ML/NLP system design, distributed high-throughput and low-latency architectures.
Hands-on experience with containerization (Kubernetes, Docker), web frameworks (FastAPI, Uvicorn), and CI tools (Jenkins).
Senior AI/ML professional experienced with advanced NLP and LLM technologies in production environments.
Demonstrated capability to deliver scalable, distributed machine learning architectures at enterprise scale.
Comfortable managing shifting priorities with strong execution focus and stakeholder communication skills in a fast-paced setting.