Senior AI/ML Engineer I
Chubb Limited (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 15–30 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, serve, and optimize LLMs on Azure CPU/GPU environments to address P&C insurance business challenges.
- Research and implement LLM approaches across pre-training, fine-tuning, preference alignment, prompt engineering, and deployment.
- Develop high-quality datasets and scalable, repeatable data-collection and processing pipelines; create reusable tools and pipelines for LLM and generative AI work.
Minimum Requirements
- Work Experience Required: 3+ years in AI/ML, plus experience in LLM engineering, including pre-training and post-training/alignment.
- Strong production Python coding and review skills; knowledge of LLM frameworks such as Transformers, TRL, DeepSpeed, or PyTorch.
- Experience with distributed, high-throughput, low-latency architectures and building software using container technologies such as Kubernetes or Docker.
- Strong NLP fundamentals, including text representation and semantic extraction.
Ideal Candidate Profile
- Has practical experience across the LLM lifecycle, particularly building datasets for pre-training, instruction tuning, or preference alignment and deploying models.
- Can combine Python data engineering with production software practices to build scalable pipelines and LLM solutions for business use.
- P&C insurance experience is a plus; experience defining system architectures or developing full-stack applications is also advantageous.