Data Science / MLOps Engineer

Natural Language Processing (NLP) Machine Learning (ML) Deep Learning Large Language Models (LLMs) Prompt Engineering Agentic workflows (e.g. LangGraph or similar frameworks) Model versioning Pipeline orchestration CI/CD for ML systems Model monitoring & performance tracking Retraining strategies Docker (containerization) Kubernetes (orchestration) PostgreSQL or MySQL Testing strategies Error analysis Model validation techniques