NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Platform Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Key Responsibilities:
Develop and maintain AI/ML pipelines and models using Python.
Design and implement solutions on Azure services such as Azure Machine Learning, Azure Functions, Data Factory, and AKS.
Automate infrastructure provisioning and deployment using IaC tools (e.g., ARM templates, Terraform, or Bicep).
Deploy and manage containerized AI workloads on Azure Kubernetes Service for scalability and resilience.
Ensure security, scalability, and performance of AI solutions in cloud environments.
Collaborate with data scientists, architects, and DevOps teams to deliver end-to-end AI solutions.
Required Skills:
Proficiency in Python for AI/ML development.
Hands-on experience with Azure services for AI/ML workloads, including AKS.
Strong understanding of Infrastructure as Code and CI/CD practices.
Familiarity with containerization (Docker) and Kubernetes orchestration.
Excellent problem-solving and communication skills.
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
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