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Walk-in || Artificial Intelligence Engineer

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Onsite

Walk-in || Artificial Intelligence Engineer

Tata Consultancy Services

Walk-in || Artificial Intelligence Engineer

Skills

Deep LearningDockerPythonMachine LearningAIKubernetes

2 months ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Onsite

Published on:

13 August 2026

What they need


WALKIN DRIVE IN NOIDA ON 22-AUG-2026

AI/ML Engineer (GenAI)

Experience: 5+ Years

Role Summary

We are looking for an experienced AI/ML Engineer with strong expertise in Generative AI, LLMs, and Agentic AI to design, develop, and deploy scalable AI solutions. The ideal candidate will have hands-on experience in building GenAI applications, implementing MLOps practices, and deploying AI models on cloud platforms.

Key Responsibilities

  • Lead the end-to-end lifecycle of AI projects, from data acquisition to deployment and monitoring.
  • Design, build, and optimize Machine Learning, Deep Learning, and Generative AI solutions.
  • Develop GenAI applications such as RAG (Retrieval-Augmented Generation) and Image Generation systems.
  • Architect scalable AI pipelines using MLOps tools and best practices.
  • Collaborate with product managers, data scientists, and engineering teams to deliver business-focused AI solutions.
  • Conduct code reviews, mentor junior engineers, and promote engineering best practices.
  • Stay updated on emerging AI technologies, frameworks, and industry trends.

Required Skills

  • 5+ years of experience in AI/ML Engineering.
  • Strong proficiency in Python.
  • Expertise in LangChain and LangGraph.
  • Experience building GenAI solutions, including RAG, AI Agents, and Image Generation applications.
  • Strong understanding of LLMs, Prompt Engineering, and Agentic AI.
  • Experience with Model Context Protocol (MCP).
  • Hands-on experience with cloud-based AI deployments.
  • Experience with MLOps tools such as MLflow, Kubeflow, Docker, and Kubernetes.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, AI/ML, or a related field.
  • Foundation-level certification in Artificial Intelligence.

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