Senior Machine Learning Engineer (Bangalore/Noida Location)
Core
Build and deploy LLM-powered agents and optimize RAG pipelines for contact center insights and customer-facing products.
Role type
Senior IC machine learning engineer (LLM & RAG)
Builds
Production-ready AI/NLP pipelines, LLM agents, and RAG systems for contact center stakeholders
Domain
AI/ML, Large Language Models, Contact Centers
Deliverable
production ML models
Required skills
Python, RAG pipelines, prompt engineering, LLM experimentation, reasoning/planning/memory modules, system optimization (latency/scalability/cost), ML service deployment, vector databases
Preferred skills
PyTorch, Hugging Face Transformers, model training/inference optimization, GPU usage, Docker/Kubernetes, cloud platforms
Technologies
PyTorch, Hugging Face Transformers, FAISS, Pinecone, Qdrant, REST APIs, Docker, Kubernetes
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
Seniority
Senior, hands-on IC