обновлено 5 дней назад
Senior Machine Learning Engineer (Bangalore/Noida Location)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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