6+ years in AI/ML engineering or applied machine learning
Strong Python skills with scikit-learn, TensorFlow, PyTorch, or XGBoost, plus experience with LLM frameworks (LangChain/LangGraph) and RAG
Experience with cloud AI services (AWS Bedrock/SageMaker, Azure, or GCP) and vector stores
Proficiency in SQL and working with data warehouses/lakes and embeddings
Familiarity with MLOps/LLMOps, containerisation (Kubernetes), and CI/CD
Understanding of prompt engineering, evaluation harnesses, and guardrails
Strong grasp of ML theory, software engineering practices, and version control (Git)
