Position:
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AI/ML Engineer (AI Data Engineer) - As per the JD, it is a Data Science role, not a DE role
Company:
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NTT DATA North America
Location:
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Hyderabad, Telangana, India
Job type:
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Full-time
Job mode:
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Onsite
Job requisition id:
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303765
Years of experience:
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0–3 years
Company Description
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NTT DATA is a global IT services provider and part of the NTT Group, operating across more than 50 countries.
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It serves over 75% of Fortune Global 100 companies and is valued at $30 billion in revenue.
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With over 26,000 employees in North America alone, it delivers business and technology solutions to help clients innovate and transform.
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The company invests over $3.6 billion annually in R&D, with particular focus on AI, digital transformation, and sustainable tech infrastructure.
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Services include consulting, systems integration, application services, data and AI, cloud infrastructure, and managed services.
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NTT DATA is known for a strong ecosystem of partners including both startups and established players.
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The company has received recognition as a Global Top Employer and promotes diversity and inclusivity across all its teams.
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Its technology capabilities span cybersecurity, cloud computing, data science, and AI/ML.
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With innovation hubs and centers of excellence globally, it plays a key role in the advancement of digital services.
Profile Overview
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This entry-level AI Data Engineer role is ideal for freshers or candidates with up to 3 years of experience.
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The role focuses on the development and deployment of machine learning models and AI-driven solutions.
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The candidate will be expected to implement standard ML algorithms and contribute to scalable data-driven systems.
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The engineer will be responsible for creating clean, reusable code in Python for machine learning and data processing tasks.
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Exposure to production deployments of at least one ML model is required.
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Working knowledge of tools like LangChain and libraries around generative AI is considered a strong advantage.
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The position will involve collaboration with data scientists, AI/ML researchers, and business stakeholders.
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Emphasis will be placed on hands-on experience with GenAI tools, LLMs, and optimization techniques.
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The role is based out of Hyderabad and offers in-office collaboration with high-performing AI teams.
Qualifications
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Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related technical field.
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Proficiency in Python programming for building machine learning pipelines and data automation.
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Solid understanding of traditional ML algorithms including regression, clustering, and classification techniques.
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Familiarity with version control systems and modern software development practices.
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Understanding of deep learning concepts and frameworks such as TensorFlow or PyTorch is preferred.
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Hands-on experience or project work in generative AI technologies is a big plus.
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Exposure to deploying models in real-world production environments.
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Prior knowledge of LangChain or similar frameworks is a value-add.
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Strong analytical thinking and problem-solving mindset.
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Ability to document workflows and models clearly and concisely for collaboration.
Additional Info
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This role is a great fit for those aspiring to begin their journey in AI/ML engineering within a global company.
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The environment at NTT DATA supports experimentation, continuous learning, and the use of cutting-edge tools.
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You will work on real business problems and help design scalable solutions that have direct business impact.
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The company provides mentorship, internal training, and structured growth paths.
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Candidates who show potential in GenAI and production-ready model development will stand out.
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Employees benefit from a collaborative team culture, accessible leadership, and regular feedback loops.
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Hyderabad location offers access to one of the fastest-growing AI tech hubs in India.
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While the company hires globally, this role is specifically focused on Indian candidates working onsite.
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NTT DATA values inclusivity and diversity, offering equal opportunities regardless of background.
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Ethical AI practices, data privacy, and responsible tech development are deeply integrated into the company's engineering culture.
Please click here to apply.
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