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.