AI Engineer

Zensar Technologies • Commerce • Python • 2 days ago
This job is closed Closed on: 09/09/2026. The company is no longer accepting applications for this position. Browse similar jobs below.
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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 • Custom Software Development • Software • IT Outsourcing • IT Consulting • Information Technology • 1001-5000 employees • Est. 1991

RoleOverview

WeareseekingaskilledAI Engineer to design, develop, deploy, andoptimizeAI-poweredsolutionsthatdrivebusinessvalue.TheidealcandidatewillhaveexpertiseinMachineLearning,GenerativeAI,LargeLanguageModels(LLMs),andMLOps,withexperiencebuildingscalableAIapplicationsincloudenvironments.

TechnicalSkills

AI&MachineLearning

  • MachineLearning
  • DeepLearning
  • NLP
  • ComputerVision
  • GenerativeAI
  • LargeLanguageModels(LLMs)
  • PromptEngineering
  • Retrieval-AugmentedGeneration(RAG)

Programming&Frameworks

  • Python
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • LangChain
  • LangGraph
  • LlamaIndex

Cloud&MLOps

  • VertexAI/AzureAIServices/AWSSageMaker
  • MLflow
  • Docker
  • Kubernetes
  • GitHubActions/AzureDevOps

Databases

  • PostgreSQL
  • MongoDB
  • BigQuery
  • Pinecone
  • Weaviate
  • ChromaDB

KeyCompetencies

  • AISolutionDesign
  • ModelDevelopment&Optimization
  • ProblemSolving
  • InnovationMindset
  • AnalyticalThinking
  • StakeholderManagement
  • Communication&Collaboration

NicetoHave

  • GoogleProfessionalMachineLearningEngineer,AzureAIEngineer,orAWSMLCertification.
  • Experiencebuildingenterprise-scaleAIcopilotsandchatbots.
  • ExposuretoResponsibleAI,AIGovernance,andModelExplainability.
  • ExperienceinRetail,E-commerce,SupplyChain,orCustomerAnalyticsdomains.

SuccessMetrics

  • SuccessfuldeploymentofscalableAIsolutions.
  • Improvedmodelaccuracy,performance,andreliability.
  • ReduceddeploymenttimethroughMLOpsautomation.
  • IncreasedbusinessvaluethroughAI-driveninsightsandautomation.
  • HighstakeholdersatisfactionandadoptionofAIsolutions.
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