MLOps Engineer

Job Description

Job Description : Strong understating of Python, ML concepts and frameworks, Fast API, Graph QL Experience in developing scalable APIs. Knowledge of AWS, preferred services are storage, EC2, Kubernetes Exposure of ML best practices, documentation and unit testing. ML Flow, AirFlow, ML pipeline creation, drift monitoring and control Experience in developing and deploying machine learning models in a production environment using CI/CD. Communicate with clients to understand requirements and ask right questions. Knowledge of Django and database design will be added advantage. Strong analytical and problem-solving skills. Experience in proprietary and public LLMs, including finetuning, inference optimization Experience in latest LLM frameworks/libraries (like LangChain, Langfuse, Ragas, Llamaindex, Huggingface, Chainlit)