10+ years of experience in engineering, program management, or AI delivery 2+ years in ML/LLM project leadership Proven ability to manage large-scale delivery programs (100+ team members) Strong technical grounding in machine learning, NLP, and modern deep learning frameworks (PyTorch, TensorFlow, Hugging Face, etc.) Working knowledge of MLOps pipelines (MLflow, Kubeflow, or Vertex AI) Working knowledge of cloud platforms (AWS, GCP, or Azure) Experience with data curation, training pipelines, and large-scale annotation processes Excellent communication, stakeholder management, and risk mitigation capabilities Demonstrated success driving ML systems from research to production