Requirements:
— 4–5+ years of AI/ML or Data Science experience
— Advanced Python, SQL, and ML experience
— Hands-on experience with LLMs, RAG, embeddings, and transformers
— Experience with PyTorch/TensorFlow, Hugging Face, LangChain or LlamaIndex
— Experience with vector databases such as Pinecone, FAISS, Milvus, or OpenSearch
— MLOps experience with Docker, Kubernetes, MLflow, and CI/CD
— AWS and production AI/ML deployment experience
The role involves building production GenAI systems, RAG pipelines, recommendation/personalization models, and scalable ML infrastructure from development through deployment.
The position is fully remote, with full-time or contract options.
Контакты работодателя доступны по кнопке «Откликнуться» после входа.