Industry / Sector : Insurance, Reinsurance, or Financial Services
Job Responsibilities
- Design, train, and deploy ML and LLM models using modern frameworks.
- Implement scalable data pipelines and model monitoring systems.
- Collaborate on prompt engineering, token optimization, and semantic search.
- Ensure model fairness, transparency, and compliance with AI safety standards.
- Contribute to technical documentation and internal knowledge sharing.
Requirements
Minimum 5 years of experience in ML / AI engineering.Strong proficiency in :o Python, PyTorch, TensorFlow
o LangChain, LangGraph, HuggingFace Transformers
o OpenAI, Anthropic Claude, VertexAI
o Vector databases (e.g., ChromaDB, MilvusDB, PGVector)
o MLOps tools (e.g., Prefect, Flyte, Kubernetes)
o NLP and Computer Vision techniques
o Cloud platforms (AWS, Azure)
Experience with CI / CD, testing, and monitoring best practices.Familiarity with Agile delivery and cross-functional collaboration.