* 5 to 8 years in ML engineering or applied AI with delivery in production environments
* Strong with LLMs, embeddings, RAG, and classical ML models.
* Skilled in data analysis, feature engineering, and evaluation.
* Experience building and scaling pipelines.
* Strong cloud deployment background.
* Able to quantify business impact and guide decisions.
* Strong communication and mentoring ability.
* Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, TensorFlow or PyTorch, Scikit-learn, Pinecone or equivalent vector DB, Airflow or Prefect, GitHub, Docker, Terraform, PostgreSQL, BigQuery, n8n or similar workflow tools.