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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and serve Large Language Models (LLMs) on Azure (CPU & GPU) to solve complex P&C insurance business challenges.
Research and implement state of the art LLM techniques including pre-training, fine-tuning, preference alignment, and generative AI methods.
Develop novel datasets and scalable data pipelines, ensure high quality code, and build reusable processes and tools for LLM and generative AI workflows.
Minimum Requirements
3+ years experience in AI/ML with deep expertise in production Python coding.
Experience in LLM engineering including pretraining and post-training/alignment techniques.
Proficiency with LLM frameworks (transformers, trl, deepspeed, PyTorch) and distributed, high throughput architectures.
Work Experience Required: 3+ years in AI/ML. Notice period: Not explicitly mentioned.
Ideal Candidate Profile
Experienced in end-to-end LLM lifecycle including dataset creation for pre-training, instruction tuning, and deployment.
Strong multidisciplinary problem solver with ability to communicate technical solutions effectively to business stakeholders.
Familiarity with container technologies (Kubernetes, Docker) and system architecture design for scalable AI solutions.