MS Azure, AI ML Lead, Wipro

Java, Python
Pune, Maharashtra, India
January 19, 2026
Full Time

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Job Description

Wipro’s MS Azure/AI ML Lead position is aimed at constructing, fabricating, and enhancing applications that are powered by AI through Microsoft Azure. The job demands a solid knowledge of Azure AI services, ML tools, and cloud AI connectivity, besides the interaction with different functional teams to promote the digital transformation projects of the enterprise.

Date Posted: January 8, 2026

Expiration Date: NA

Experience: 5–8 Years

Job ID: NA

Role: MS Azure / AI ML Lead

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Main Responsibilities

  • Azure AI services will be utilized to create, build, and demonstrate AI applications, where the usage will include Azure OpenAI and Azure AI Search.
  • Oversee the entire journey of the development of AI/ML solutions, starting from the fusion of models to the actual deployment in production.
  • Optimize clouds-based AI models and workflows for large-scale application, better performance, and reliability.
  • Utilize data science, statistics, and algorithmic modeling to solve difficult business problems.
  • Work together with Agile teams to deliver AI solutions that support the company’s objectives.
  • Demonstrated ability to make complex technical issues understandable to both technical and non-technical stakeholders.

Minimum Requirements

  • Willingness to take a practical approach and proven mastery of Microsoft Azure cloud services for AI and ML.
  • Strong grasp of data science, statistics, and machine learning principles.
  • Proficiency in the use of programming languages like Python and Java.
  • Acquaintance with AI/ML frameworks and tools such as TensorFlow, LangChain, LangGraph, LlamaIndex, Spring AI, and so on within that area.
  • Reasonably good understanding of Agile delivery methods and their corresponding practices.

Desired Qualifications

  • Thorough knowledge and experience in developing, deploying, and scaling AI applications for enterprise use on Azure.
  • Understanding of generative AI, large language models (LLMs)- based architectures, and AI orchestration frameworks.
  • Possession of superb problem-solving abilities and skill to steer the technical conversation.

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