Description

You will engineer and deploy advanced machine learning systems focused on large language models and agentic workflows.

Responsibilities

• Build and deploy Retrieval Augmented Generation (RAG) pipelines.
• Develop agentic workflows using LangChain and LangGraph.
• Manage the end-to-end ML lifecycle, from data preparation to deployment and monitoring.
• Implement and fine-tune models using various LLMs (e.g., OpenAI GPT, Claude, Gemini, LLAMA).
• Design and maintain scalable ML infrastructure on cloud platforms.

Required Skills

• 5+ years of professional experience in ML engineering.
• Expert proficiency in Python.
• Experience with LLMs, including OpenAI GPT, Claude, Gemini, and LLAMA.
• Skilled in building RAG pipelines and agentic workflows using LangChain and LangGraph.
• Hands-on experience with PyTorch and TensorFlow.
• Familiarity with ML frameworks like Scikit-learn and Hugging Face.
• Experience with cloud ML platforms (AWS or GCP).
• Proven ability to handle distributed systems and scalable data pipelines.

Key Skills

Education

Any Graduate