Machine Learning Engineer LLM
Core
Building and developing ML and AI solutions based on structured and/or unstructured data, including LLM-based tools like chatbots, RAG, and semantic search.
Role type
Machine Learning Engineer (LLM)
Builds
Production ML/AI solutions, chatbots, RAG pipelines, semantic search features
Domain
Retail technology, Large Language Models, Data Engineering
Deliverable
production ML models | product features
Required skills
Machine Learning fundamentals, model selection and validation, data cleaning and feature engineering, SQL (PostgreSQL), Python (production code, clean code, SOLID), API design, algorithms and data structures, MLOps (pipeline building, Docker, CI/CD), vector databases (Qdrant, PGVector, Milvus), LLM frameworks (LangChain, LangGraph)
Preferred skills
Cloud platforms (AWS, GCP, Azure), Computer Vision, stakeholder management, AI ethics
Technologies
Python, SQL, PostgreSQL, Docker, CI/CD, LangChain, LangGraph, Qdrant, PGVector, Milvus
Responsibilities
Prepare data (cleaning, transformation, feature engineering), implement LLM solutions, integrate ML/AI with existing systems, collaborate with data engineering and DevOps teams, monitor and maintain deployed solutions, analyze business problems and propose solutions, document decisions and work
Seniority
Mid-level, hands-on IC