Production Ready AI & ML Development

I need an expert who can take a raw business dataset and turn it into a production-ready machine-learning model that predicts key metrics for decision-makers. From there, I want to layer in the rest of our AI stack—LLM-powered components, LangChain/LangGraph agents, vector search, and cloud deployment—so the solution can grow into a broader intelligent-automation platform.

Your day-to-day will start with Python feature engineering, model selection, and evaluation, then move into packaging the model behind a FastAPI REST service and pushing it to AWS or Azure. Along the way you’ll wire up OpenAI APIs where needed, store embeddings in a vector database, and follow best practices for security and monitoring.

What I expect to receive
• A reproducible training pipeline and clean, well-commented code
• A deployed endpoint (AWS or Azure) that returns real-time predictions
• Basic performance dashboard or logs so we can track accuracy in production
• A short hand-off document explaining the setup and how to extend it with additional LLM or RAG workflows later

Please show me:
• Links or repos for similar AI solutions you have shipped
• A brief note on tools you prefer (PyTorch, TensorFlow, scikit-learn, LangChain, etc.)
• Your hourly rate and how many hours per week you’re available

The role is fully remote and paid on an hourly contract. I’m ready to start as soon as I find the right engineer.