1+ years managing data science teams 6+ years in ML or data engineering Strong background in applied statistics, model selection, tuning, and evaluation Proficient in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, or JAX) Experienced in building and deploying production ML and deep learning pipelines Familiar with LLMs, embeddings, agentic workflows, and RAG systems Comfortable with cloud and DevOps tools (Docker, Kubernetes, Terraform) Skilled in exploratory data analysis and handling imperfect real-world data Collaborative leader who communicates clearly with technical and nontechnical teams