Senior Machine Learning Engineer

This is a hands-on role for someone who has built and shipped LLM-powered applications, not just trained models in a notebook.

What you'll be doing:

• Developing, fine-tuning, and deploying ML models that power live AI products
• Working with LLMs and Retrieval-Augmented Generation (RAG) on real business problems
• Building and maintaining robust data preprocessing pipelines
• Monitoring and continuously improving models against real-world performance
• Partnering with stakeholders to turn business challenges into ML solutions

What you'll bring:

• Master's or PhD in AI, Data Science, Computer Science, Statistics or similar
• 5+ years in ML, Data Science, RL or a related field
• Hands-on experience with LLMs and parameter-efficient fine-tuning (LoRA, QLoRA)
• Strong Python. Competitive coding background a plus (Kaggle, ACM/ICPC, TopCoder)
• Experience deploying LLM apps with FastAPI/Flask, plus Streamlit for front ends
• Solid grasp of REST, methods, websockets, API lifecycle
• ML frameworks (PyTorch, TensorFlow, scikit-learn) and LangChain, LangGraph, LlamaIndex
• SQL/NoSQL (PostgreSQL, MongoDB, Redis) and vector databases (Pinecone, Weaviate, pgvector)