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AES - DE - Generative AI Application Developers

Zensar

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What application roles keep asking for: Python (14%), Java (13%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Zensar?
  2. What is your experience with Azure? Tell me one thing you learned the hard way.
  3. Tell me about a time the data was messy or wrong. What did you do?
  4. How would you explain your model's result to someone who is not technical?
  5. What would you check first if a model's accuracy dropped after going live?

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Experience: 7+ Years Role Summary Hands-on AI/ML engineer responsible for implementing approved business AI initiatives across the application portfolio using Azure AI technologies. The role will work closely with business stakeholders, regional leads, and application teams to convert AI use cases into production-ready solutions. Key Responsibilities • Design and implement business-focused AI solutions using Azure OpenAI and Azure AI Services. • Build AI assistants, copilots, intelligent search, and workflow automation solutions. • Develop and deploy RAG (Retrieval Augmented Generation) solutions leveraging enterprise data sources. • Integrate AI capabilities into existing enterprise applications and business processes. • Develop reusable AI accelerators that can be leveraged across applications and regions. • Support AI advisory initiatives, including reporting, intelligence, and automation use cases. • Drive AI use cases from concept, prototype, pilot, and production deployment.

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Listed on oraclehcm · posted 2026-09-29. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.