NTT DATA – Associate Engineer (AI Services) @Chennai

Global IT innovator and technology services leader NTT DATA is hiring for an engineering position under Requisition ID: R151207 / NTT1GLOBALR151207EXTERNALENGLOBAL. Hosted on NTT DATA’s official global careers portal (careers.nttdata.com), this full-time role is located across NTT DATA’s major technology delivery centers in India, including Bengaluru, Hyderabad, Chennai, Pune, and Noida.

This position operates within NTT DATA’s AI & Data Innovation Practice, driving generative AI integrations, computer vision platforms, enterprise natural language processing (NLP), and scalable machine learning operations (MLOps) for global clients across manufacturing, healthcare, retail, and financial services.

Job Details

About Company

NTT DATA is a top 10 global IT services provider headquartered in Tokyo, Japan, operating in over 50 countries with a global team of over 190,000 professionals. NTT DATA offers business and technology transformation through consulting, industry solutions, business process services, digital & IT modernization, and managed services.

The AI Services organization at NTT DATA designs state-of-the-art enterprise AI solutions—combining deep neural networks, Large Language Models (LLMs), Computer Vision, and Cloud Native AI infrastructure to help Fortune 500 enterprises automate complex processes and extract intelligent business insights.

Comprehensive Job Overview

As an Associate Engineer – AI Services at NTT DATA, you will participate in the design, development, fine-tuning, and deployment of Artificial Intelligence, Machine Learning, and Generative AI applications.

In this role, you will work alongside senior AI architects, data engineers, and cloud specialists to process large-scale datasets, build predictive algorithms, implement Retrieval-Augmented Generation (RAG) pipelines, and containerize ML models for enterprise cloud environments (AWS, Azure, or GCP).

Upon joining, NTT DATA provides structured onboarding and technical bootcamps focused on enterprise MLOps frameworks, LLM orchestrations (LangChain/LlamaIndex), modern vector databases, and cloud-native AI services.

Requirements & Qualifications

1. Educational Background

• Degree: Bachelor’s degree (B.E. / B.Tech) or Master’s degree (M.E. / M.Tech / MCA / M.Sc) in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related quantitative engineering fields.

2. Core Machine Learning & AI Skills

• Programming Languages: Proficiency in Python (Pandas, NumPy, Scikit-Learn, PyTorch, or TensorFlow) and SQL.
• AI & Data Science Fundamentals: Strong command over Supervised and Unsupervised Learning, Regression, Classification, Clustering, Deep Learning, and Neural Network architectures (CNNs, RNNs, Transformers).
• Generative AI & NLP: Familiarity with Large Language Models (LLMs), Prompt Engineering, Fine-Tuning basics, and vector search concepts.
• Data Engineering & APIs: Ability to build and consume RESTful APIs (FastAPI/Flask) to serve machine learning model inferences.
• Database Management: Working knowledge of relational databases (PostgreSQL, MySQL) and awareness of Vector Databases (ChromaDB, Pinecone, FAISS, Milvus).

3. Cloud & MLOps Concepts

• Cloud Basics: Understanding of AI/ML services on AWS (SageMaker), Azure (Azure AI/ML), or GCP (Vertex AI).
• Version Control & Containers: Experience using Git for code versioning and basic knowledge of Docker for model containerization.

4. Soft Skills & Problem Solving

• Strong analytical reasoning and mathematical intuition (Linear Algebra, Calculus, Probability & Statistics).
• Excellent written and verbal English communication skills for collaborating with global AI solution delivery teams.

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Key Roles and Responsibilities

1. AI Model Development: Build, train, evaluate, and fine-tune machine learning and deep learning models to solve structured and unstructured enterprise data challenges.
2. Generative AI & NLP Pipeline Design: Implement LLM applications, custom prompt engineering chains, and Retrieval-Augmented Generation (RAG) workflows for enterprise search and chat systems.
3. Data Preprocessing & Feature Engineering: Clean, normalize, and extract features from complex structured data, audio, images, or unstructured text documents.
4. API Integration & Deployment: Wrap trained ML models into low-latency RESTful APIs (FastAPI) and support deployment on Docker containers and cloud infrastructure.
5. Collaborative Innovation: Work closely with cross-functional data engineers, software developers, and business stakeholders under Agile/Scrum delivery processes.

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Technical Tools & Skill Summary

Compensation & Benefits

• Estimated Salary Package: Competitive technology industry entry package (typically ranging from ₹4.5 LPA to ₹8.0 LPA depending on candidate evaluation, coding assessment scores, and specialization in AI/ML).
• Work Arrangement: Hybrid work model out of NTT DATA campuses in Bengaluru, Hyderabad, Chennai, Pune, or Noida.
• Health & Insurance: Comprehensive medical insurance coverage for employee and dependents, group life insurance, and mental health wellness programs.
• Perks & Learning: Access to internal AI academies, sponsored certifications (AWS Machine Learning, Azure AI Engineer, Google ML Engineer), and global career development opportunities.

Selection & Recruitment Process

1. Profile Shortlisting: Resume screening based on educational background, Python/SQL proficiency, AI/ML academic projects, and certifications.
2. Online Assessment:
   • Part 1: Aptitude, Logical Reasoning, and Verbal Ability.
   • Part 2: Computer Science Fundamentals (Data Structures, Algorithms, SQL).
   • Part 3: Python Coding & AI/ML Conceptual Assessment (Data Analysis, Logic implementation).
3. Technical Interview Round 1 (AI/ML & Python Fundamentals): Deep dive into Python data structures, ML algorithms, overfitting/underfitting strategies, evaluation metrics, and final-year AI projects.
4. Technical Interview Round 2 (Generative AI & Systems Design): Discussion on deep learning architectures, RAG design, REST API integration, cloud deployment basics, and live coding/problem-solving.
5. HR & Management Round: Communication check, career goals discussion, rotational work/shift adaptability, location preference confirmation, and compensation structure discussion.

How to Apply?

1. Click on the official NTT DATA global career portal link provided below.
2. Click Apply Now and register or log in to your NTT DATA applicant account.
3. Confirm Requisition ID: R151207 for Associate Engineer – AI Services.
4. Upload an updated resume highlighting Python coding skills, AI/ML/GenAI projects, vector database exposure, GitHub repositories, and certifications, then submit your application.

Official Application Link: Apply Link