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AI/ML & Generative AI Architect (Mumbai)

Talentmatics Verified employer

Actively hiring · Posted 7d ago · JEV26101F33B03F52

SalarySalary not disclosed
Experience9–13 yrs
LocationMumbai City
Work modeHybrid · Full time
Openings1
IndustryIT Services & Consulting

Job description

Hiring: AI/ML & Generative AI Architect

We are looking for a hands-on AI/ML & Generative AI Architect to design, develop, and deploy scalable, production-grade AI solutions using Python, Machine Learning, Generative AI, LLMs, RAG, and Agentic AI.

Experience: 9+ Years

Notice Period: Immediate to 30 Days

Location: Pan India

Key Responsibilities

  • Design and develop end-to-end AI/ML and Generative AI solutions.
  • Build production-grade applications using Python, LLMs, RAG and Agentic AI.
  • Develop AI agents, multi-agent workflows, copilots and intelligent assistants.
  • Design and implement RAG pipelines, vector search, embeddings, reranking and prompt engineering.
  • Develop scalable Python APIs, REST services and microservices.
  • Integrate AI solutions with enterprise applications, data platforms and cloud environments.
  • Implement LLMOps/MLOps, including model evaluation, monitoring, deployment and optimization.
  • Ensure solutions meet requirements for scalability, performance, security, reliability and cost optimization.
  • Lead technical design, architecture reviews and code reviews.
  • Provide technical guidance and mentor AI/ML engineering teams.

Mandatory Skills

  • 9+ years of overall IT/software engineering experience.
  • 4+ years of hands-on AI/ML and Generative AI experience.
  • Strong hands-on Python development.
  • Strong knowledge of Machine Learning and Deep Learning.
  • Hands-on experience with Generative AI, LLMs and RAG.
  • Strong experience in Agentic AI, AI Agents and Multi-Agent Systems.
  • Hands-on experience with LLMOps/MLOps.
  • Prompt Engineering, embeddings and vector search.
  • Experience with Vector Databases.
  • Solid experience with REST APIs and Microservices.
  • Experience with at least one cloud platform: Azure, AWS or GCP.
  • Experience building and deploying production-grade AI solutions. .

Key skills

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