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Zensar Technologies • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • 14 days ago
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Salary
≈ $21k – $43k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Aug 24, 2026. Zensar Technologies scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Zensar Technologies

Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.
zensar.com • HQ: Pune, India • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • 1001-5000 employees • Est. 1991
Tech stack of Zensar Technologies

Required Skills

  • Azure Machine Learning (Azure ML)
  • Python
  • Prompt Engineering
  • Retrieval Augmented Generation (RAG)
  • Vector Databases / Embeddings
  • LangChain / LangGraph
  • REST API Development
  • Azure DevOps, Git, CI/CD

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.

AI/ML requirement with 8+ yrs experience

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