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Senior Machine Learning Engineer (Bangalore/Noida Location)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Machine Learning Engineer (Bangalore/Noida Location) (LLM/RAG): Building and deploying LLM-powered agents and production-ready AI/NLP pipelines with an accent on retrieval-augmented generation, agentic AI, and model optimization. Focus on designing reasoning and memory modules, improving inference accuracy and latency, and operating scalable ML systems with monitoring and evaluation loops.

Location: Hybrid in Bangalore or Noida, India

Company

Series C startup founded in 2019, developing an AI-native platform that transforms contact center interactions into actionable customer and operational insights.

What you will 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 and LLM systems for accuracy, latency, scalability, and cost.
  • Build production-ready AI/NLP pipelines with monitoring, evaluation benchmarks, and continual improvement loops.

Requirements

  • Bachelor's, master's, or PhD degree in computer science, mathematics, or a related field.
  • 3+ years of industry experience in machine learning, NLP, or applied AI.
  • Strong Python programming skills.
  • Experience with or interest in RAG and agentic AI concepts.
  • Experience with PyTorch, Hugging Face Transformers, model training, inference optimization, and GPUs.
  • Experience deploying ML services with REST APIs, Docker, Kubernetes, or cloud platforms, plus exposure to vector databases such as FAISS, Pinecone, or Qdrant.

Culture & Benefits

  • Work in a high-impact AI team focused on enterprise applications and customer engagement.
  • Collaborate with product, engineering, and customer-facing teams to deliver AI features.
  • Learn from colleagues with experience at major technology companies.

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