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Senior Machine Learning Engineer (Bangalore/Noida Location)

Level AI· AI
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Hybrid (Noida / Bangalore)Full-timePosted 11mo ago

About the role

Senior ML Engineer focused on building and deploying LLM-powered agents, designing RAG pipelines, and optimizing ML/LLM systems in a hybrid, full-time role based in Bangalore or Noida.

Responsibilities

  • 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/closed-source LLMs.
  • Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents.
  • Optimise ML and LLM systems for accuracy, latency, scalability, and cost.
  • Build production-ready AI/NLP pipelines with monitoring, evaluation benchmarks, and continual improvement loops.
  • Collaborate with product, engineering, and customer-facing teams to ship impactful AI features.

Qualifications

  • B.Tech/M.Tech/PhD in computer science or mathematics-related fields from tier-1 engineering institutes with 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, Hugging Face Transformers, and other similar ML libraries.
  • Interest and experience in model training, inference optimisation, and GPUs.
  • Experience deploying ML services using REST APIs, Docker, Kubernetes, or cloud platforms.
  • Exposure to vector databases such as FAISS, Pinecone, Qdrant, or similar.
Last updated Aug 19, 2026. Interested? Apply on the company site.
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