ML/LLM Engineer

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:
• Python, PyTorch, TensorFlow
• LangChain, LangGraph, HuggingFace Transformers
• OpenAI, Anthropic Claude, VertexAI
• Vector databases (e.g., ChromaDB, MilvusDB, PGVector)
• MLOps tools (e.g., Prefect, Flyte, Kubernetes)
• NLP and Computer Vision techniques
• Cloud platforms (AWS, Azure)
• Experience with CI/CD, testing, and monitoring best practices
• Familiarity with Agile delivery and cross-functional collaboration