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NewFull-time· software · backend
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NTT Data Group Corporation

Associate Engineer – AI Services

Pay

₹2.7L–7.2L LPA

+22% vs avg

Location

Chennai

On-site

Batch

2024, 2025, 2026

eligible

Closes

—

Posted 1h ago · 2,667 views this week

₹2.7L–7.2L LPA

Full-time · Chennai · On-site

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Description

About the role

NTT DATA is hiring fresh engineering graduates for the Associate Engineer – AI Services position in Chennai. The role blends software development with cloud‑based micro‑services, REST APIs and AI/ML workloads. Candidates will contribute to building, testing and deploying intelligent applications while learning from experienced engineers.

Responsibilities

  • Design, develop and enhance software modules and APIs.
  • Write, test and debug code, supporting automated testing pipelines.
  • Participate in deployment activities and CI/CD processes.
  • Collaborate with product teams to deliver functional components.
  • Assist in integrating AI/ML algorithms and processing telemetry data.
  • Support the construction and debugging of large‑scale distributed systems.
  • Prepare and maintain technical and end‑user documentation.
  • Refactor existing codebases following best engineering practices.
  • Engage in peer code reviews to ensure quality standards.
  • Contribute to cloud‑native solutions using containers and orchestration tools.

Eligibility

  • Bachelor’s degree or equivalent in Computer Science, Engineering or a related discipline (B.E, B.Tech, B.Sc, BCA accepted).
  • Entry‑level candidates with a solid foundation in programming and data structures.
  • Ability to work in an Agile, collaborative environment.

Skills

  • Proficiency in languages such as Python, Java, C/C++ or JavaScript/Node.js.
  • Understanding of data structures, algorithms and software design principles.
  • Familiarity with micro‑services architecture and RESTful API development.
  • Basic knowledge of AI/ML concepts and handling of structured/unstructured data.
  • Experience with SQL databases and awareness of NoSQL stores.
  • Introductory exposure to cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes).
  • Awareness of CI/CD pipelines and DevOps practices.

Benefits

  • Competitive industry‑aligned compensation (Best in Industry).
  • Hands‑on experience with AI/ML and cloud technologies.
  • Mentorship from senior engineers and exposure to large‑scale projects.
  • Opportunity to work in a global IT services environment.
  • Access to learning resources and certification support.

Skills

· 12 total

Required10

pythonjavac++javascriptsqlawsdockerkubernetesmicroservicesci/cd

Nice to have2

azure fundamentalsagile