Senior Machine Learning Engineer (Bangalore/Noida Location)

Overview

Senior Machine Learning Engineer to build and deploy LLM-powered agents, improve RAG pipelines, and optimize AI/ML systems for production use.

What you'll do

• Build and deploy LLM-powered agents for internal tools and customer-facing products.
• Design and improve RAG pipelines, prompt engineering workflows, and tool integrations.
• Experiment with open-source and closed-source LLMs.
• Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents.
• Optimize ML/LLM systems for accuracy, latency, scalability, and cost.
• Build production-ready AI/NLP pipelines with monitoring and evaluation benchmarks.
• Collaborate with product, engineering, and customer-facing teams to ship AI features.

What you'll need

• 3+ years of industry experience in machine learning and NLP, or applied AI.
• Strong programming skills in Python.
• Interest and experience with RAG and agentic AI concepts.
• Experience with PyTorch and Hugging Face Transformers.
• Interest and experience with model training and inference optimization, including GPUs.
• Experience deploying ML services using REST APIs, Docker, Kubernetes, or cloud platforms.
• Exposure to vector databases such as FAISS, Pinecone, or Qdrant.

Details

• Location: Noida, India.