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NTT DATA Hiring 2026: Associate Engineer – AI Services | Chennai (Job ID R-151207)

NTT DATA Chennai Full-time Fresher Not Disclosed Posted 2 hours ago

Company: NTT DATA Services / NTT DATA India
Job Title: Associate Engineer – AI Services (Associate Software Development Engineer)
Job Requisition ID: R-151207
Practice / Group: AI Services, Cloud & Application Development
Workplace Type: Hybrid Working
Employment Type: Full-Time Regular
Experience Level: Entry Level (0 to 2 Years / Fresh Graduates Eligible)
Posting Location: Chennai, Tamil Nadu, India

Company & Practice Overview

NTT DATA is a $30+ billion global business and technology services powerhouse serving 75% of the Fortune Global 100 across 70+ countries. Backed by NTT Group’s $3+ billion annual R&D investment, NTT DATA leads enterprise innovation across cloud infrastructure, data centers, cybersecurity, and enterprise-scale Artificial Intelligence.

The Associate Engineer – AI Services (Job ID: R-151207) position is based out of NTT DATA’s technology hub in Chennai under a Hybrid Working model. Functioning as an entry-level Software Development Engineer, associates build cloud-native microservices, design RESTful APIs, process telemetry data, and apply Machine Learning / AI algorithms across structured and unstructured datasets to deliver scalable client solutions.

Key Responsibilities & Daily Operations

  • Microservices & API Engineering: Design, code, and test modular software components within a microservices architecture, developing scalable RESTful APIs.
  • AI & Telemetry Data Processing: Process structured and unstructured datasets, analyze telemetry streams, and integrate Machine Learning and AI algorithms into production workflows.
  • Prototyping & Multi-Vendor Integration: Assist with detailed sub-system designs, build multi-vendor infrastructure prototypes, and demonstrate proof-of-concepts (PoCs) to internal and client stakeholders.
  • Testing, Debugging & Code Quality: Write unit and automated tests (TDD approach), debug distributed system issues, refactor legacy modules, and participate in peer code reviews.
  • CI/CD & Cloud Deployment: Collaborate with product and DevOps teams to deploy applications across public cloud environments using CI/CD pipelines.
  • Documentation & Operational Support: Author and maintain technical design documents, operational runbooks, and end-user guides.

Minimum Eligibility & Qualification Criteria

Academic Background

  • Degree: Bachelor’s degree (B.E. / B.Tech / B.Sc / BCA / MCA) or equivalent in Computer Science, Artificial Intelligence, Engineering, or a related technical field.

Experience Level

  • Entry Level (0 to 2 Years): Fresh engineering graduates (2025/2026 batches) or early-career developers with foundational exposure to full SDLC tools, agile practices, and cloud/API development.

Mandatory Technical Competencies

  • Programming & Frameworks: Developing proficiency in one or more core languages: Python, Java, C/C++, C#, JavaScript, or Node.js, along with relevant libraries and frameworks.
  • CS & Software Fundamentals: Solid understanding of Data Structures, Algorithms, Software Design, analytical problem-solving, and debugging.
  • Architecture & APIs: Foundational knowledge of microservices architecture and RESTful API development.
  • Databases (SQL & NoSQL): Hands-on familiarity with relational databases (SQL) and NoSQL data stores (MongoDB, Elasticsearch, Cassandra).
  • Cloud & Containers: Basic understanding of public cloud platforms (AWS, GCP, Microsoft Azure), container runtimes (Docker, Kubernetes), and CI/CD workflows.
  • Methodology: Familiarity with Agile, Lean practices, and Test-Driven Development (TDD).

Preferred Certifications

  • Microsoft Certified: Azure Fundamentals (AZ-900) or equivalent cloud/agile certifications.

Compensation & Employee Benefits

  • Estimated Starting Salary: ₹4.5 LPA to ₹7.5 LPA (CTC) for entry-level Associate Engineers in AI Services, depending on technical assessment performance and certification credentials.
  • NTT DATA Corporate Benefits:
    • Hybrid Flexibility: Balanced remote and on-site collaboration at the Chennai office.
    • Global R&D Ecosystem: Access to NTT DATA’s innovation centers, startup partner networks, and enterprise AI sandboxes.
    • Certification Sponsorship: Subsidized certifications across Microsoft Azure, AWS, GCP, and Agile frameworks.
    • Health & Wellbeing: Comprehensive Medical Insurance, Group Term Life, Personal Accident Coverage, and wellness programs.

Selection Workflow & Interview Steps

1. Profile Shortlisting & Resume Audit (Requisition ID: R-151207)
   (Verification of CS/Engineering degree, Python/Java/Node.js skills, AI/ML projects, & Chennai hybrid fit)
   ↓
2. Online Aptitude & Technical Coding Assessment
   (Evaluation of Logical Reasoning, Data Structures & Algorithms [1–2 Coding Problems], SQL/NoSQL, & Cloud/OOP MCQs)
   ↓
3. Technical Interview Round 1 (Programming, DSA & APIs)
   (Live coding in Python/Java/JavaScript, Data Structures, REST API design, & SQL vs. NoSQL database concepts)
   ↓
4. Technical Interview Round 2 (AI/ML Fundamentals, Microservices & Cloud)
   (Deep dive into ML/AI project workflows, Docker/Kubernetes basics, telemetry/data handling, & debugging scenarios)
   ↓
5. Managerial & HR Round (Agile Mindset & Offer Rollout)
   (Evaluation of communication skills, geo-distributed teamwork, hybrid work alignment, & formal offer issuance)

NTT DATA Official Anti-Fraud Notice: NTT DATA recruiters never request payments, fees, or banking details during the recruitment process. All legitimate hiring emails originate strictly from @nttdata.com email domains.

Essential Technical Topics to Prepare

  • Programming & DSA: Arrays, Strings, HashMaps, Trees, API request/response lifecycle (HTTP methods, status codes, JSON parsing), and asynchronous programming (Python asyncio / Node.js Event Loop).
  • AI/ML & Data Handling: Supervised vs. Unsupervised learning, handling structured vs. unstructured data, basic data preprocessing (Pandas/NumPy), and REST API model inference serving.
  • Cloud, Databases & Containers: SQL joins/indexing vs. MongoDB document schemas/Elasticsearch indexing, Dockerfile creation, Kubernetes Pods/Services basics, and CI/CD pipeline stages.

Core Resume Keywords for ATS Optimization

  • Role & Practice: Associate Engineer AI Services, Associate Software Development Engineer, Microservices Architecture, RESTful API Development, Distributed Systems
  • Languages & Frameworks: Python, Java, C++, C#, JavaScript, Node.js, Data Structures and Algorithms (DSA), Test-Driven Development (TDD)
  • AI, Data & Databases: Machine Learning (ML), Artificial Intelligence (AI), Telemetry Data, Structured and Unstructured Data, SQL, NoSQL, MongoDB, Elasticsearch, Cassandra
  • Cloud & DevOps: Microsoft Azure, AWS, GCP, Docker, Kubernetes, CI/CD, Agile, Lean Methodologies, Automated Testing
  • NTT DATA Specifics: Requisition R-151207, NTT DATA Chennai, Hybrid Working, Azure Fundamentals

Frequently Asked Questions (FAQs)

1. What is the Job Requisition ID for this NTT DATA position?

The official NTT DATA requisition ID is R-151207.

2. What is the work location and arrangement?

The role is based in Chennai, Tamil Nadu, India, operating under a Hybrid Working arrangement.

3. Are fresh graduates eligible to apply?

Yes. This is an entry-level Associate Software Development Engineer position open to fresh graduates with a Bachelor’s degree in Computer Science, Engineering, or a related field.

4. What core technologies are used in this AI Services role?

Engineers work with Python, Java, Node.js/C#, microservices and RESTful APIs, SQL and NoSQL databases (MongoDB, Elasticsearch, Cassandra), Docker/Kubernetes, and public cloud platforms (Azure, AWS, GCP) to deploy ML/AI solutions.