Machine Learning Engineer 5

10 - 15 years

35 - 40 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking for a Senior Machine Learning Engineer who thrives on solving hard problems, scaling intelligent systems, and creating measurable impact. You ll lead the design and development of low-latency, high-throughput services that power intelligent enterprise experiences across millions of users worldwide.

Job Responsibilities
  • Lead the technical design, implementation, and evolution of AEP Knowledge Base and Agentic AI systems.
  • Design and deploy high-performance, low-latency distributed systems that scale globally.
  • Work hands-on with foundation models (OpenAI, Anthropic, Llama, Gemini) and model adaptation techniques.
  • Architect RAG (Retrieval-Augmented Generation) pipelines and optimize vector databases (FAISS, Pinecone, Weaviate, Milvus) for enterprise-grade AI solutions.
  • Build evaluation, safety, and guardrail frameworks for responsible AI.
  • Collaborate closely with research, platform, and product teams to integrate innovative AI into customer-facing solutions.
  • Mentor engineers, drive technical excellence, and foster a culture of continuous learning.
  • (Bonus) Contribute to or lead open-source initiatives in the LLM or agent ecosystem.
What you will need to succeed
  • 10+ years of experience designing and developing large-scale, data-intensive distributed systems.
  • 3+ years in technical leadership roles, driving architecture and mentoring teams.
  • Expertise in vector databases (Pinecone, Weaviate, Milvus) and agent frameworks (LangChain, LlamaIndex, AutoGen, Haystack Agents, Semantic Kernel).
  • Hands-on experience with public cloud platforms ( Azure, AWS, or GCP ).
  • Strong background in relational databases (PostgreSQL, MySQL).
  • Proficiency in Java, Scala, or Python , and a deep understanding of algorithms and data structures.
  • A strong sense of ownership and cost-conscious design for compute and memory efficiency.
  • Excellent communication skills and the ability to collaborate effectively with multi-functional teams.
  • Bachelor s, Master s, or PhD in Computer Science or a related technical field with equivalent experience.

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