Description

You will build and deploy machine learning solutions focused on large language models.

Responsibilities

• Develop and implement LLM-powered features using techniques like RAG and prompt engineering.
• Integrate vector databases and utilize embeddings for semantic search capabilities.
• Design and operationalize ML workflows using MLOps principles.
• Deploy AI models across major cloud platforms.

Required Skills

• 5+ years of professional experience in ML/AI engineering.
• Strong proficiency in Python.
• Hands-on experience with LLMs (GPT, Llama, Mistral).
• Experience with frameworks like HuggingFace and LangChain.
• Practical knowledge of vector databases (e.g., FAISS, Pinecone).
• Familiarity with core ML concepts including intent classification and embeddings.
• Experience deploying models on Azure, AWS, or GCP.
• Working knowledge of MLOps practices.

Key Skills

Education

Any Graduate