Senior Manager - AI/ML Engineering

Design, build, and serve Large Language Models (LLMs) using Azure (CPU & GPU) to address complex business challenges in P&C insurance.

Develop novel datasets and scalable data pipelines for LLM pre-training, fine-tuning, and alignment focusing also on prompt engineering and generative AI.

Create reusable pipelines and tools to optimize LLM and generative AI workflows while managing stakeholder communications and project priorities.

8+ years experience in AI/ML engineering with expertise in LLM engineering including pretraining and post-training/alignment.

Strong production Python programming skills with experience in LLM frameworks like transformers, trl, deepspeed, PyTorch.

Experience with distributed, high throughput, low latency architectures and container technologies such as Kubernetes and Docker.

Work Experience Required: Minimum 8 years in AI/ML roles. Location: Bangalore, India.

Experienced in applying state-of-the-art LLM techniques end-to-end including dataset creation, instruction tuning, preference alignment, and deployment at scale.

Capable of communicating technical solutions effectively with both technical teams and business stakeholders in a global, collaborative environment.

Skilled in software development lifecycle for AI/ML production systems, with a problem solving approach that integrates multi-disciplinary techniques and practical engineering.