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AI Digital Engineer

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Onsite

AI Digital Engineer

Tata Consultancy Services

AI Digital Engineer

Skills

Google Cloud PlatformDockerPythonData ScienceJavaC#MicroservicesPyTorchTensorFlowMachine LearningAIAWSKubernetesDigital TransformationAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

29 September 2026

What they need


AI Digital Engineer

Location: Chennai / Hyderabad / Gurgaon
Experience: 5-10 Years
Employment Type: Full-Time

Role Overview

We are seeking an experienced AI Digital Engineer to design, build, and deploy AI-driven solutions that accelerate digital transformation and improve business outcomes. The ideal candidate will have hands-on expertise in AI/ML, Generative AI, cloud technologies, and modern software engineering practices.

Key Responsibilities

  • Design and develop AI-powered applications and enterprise digital solutions.
  • Build, deploy, and optimize Machine Learning and Generative AI models.
  • Develop solutions leveraging LLMs, RAG frameworks, prompt engineering, and AI agents.
  • Collaborate with business and technology teams to identify AI-driven opportunities.
  • Integrate AI solutions with enterprise applications, APIs, and cloud platforms.
  • Implement MLOps, CI/CD pipelines, model monitoring, and governance practices.
  • Ensure scalability, security, reliability, and performance of AI solutions.
  • Stay updated with emerging AI technologies and recommend innovative solutions.

Required Skills & Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
  • experience in AI/ML Engineering, Software Engineering, or Digital Transformation.
  • Strong programming skills in Python and experience with Java/C#.
  • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks.
  • Experience with Generative AI, LLMs, LangChain, LlamaIndex, RAG, and prompt engineering.
  • Knowledge of cloud platforms such as Azure, AWS, or GCP.
  • Experience with REST APIs, microservices, Docker, Kubernetes, and Git.
  • Understanding of MLOps, DevOps, and Agile methodologies.
  • Strong problem-solving, communication, and stakeholder management skills.

Preferred Skills

  • Experience with Azure OpenAI, Azure AI Foundry, Microsoft Copilot, AWS Bedrock, or Vertex AI.
  • Exposure to Power Automate, UiPath, or other automation platforms.
  • Relevant AI, Cloud, or Data certifications.

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