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Location
In office (India)

Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Oct 1, 2026. Zensar Technologies scores A on the Alion truth index.

Overview
Company
Impact
Profile match
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.

RoleOverview

WeareseekingahighlyskilledAI Engineer to design, develop, deploy, and optimize Artificial Intelligence and Machine Learning solutions that address complex business challenges.Theidealcandidatewillhaveexpertiseinmachinelearning,deeplearning,GenerativeAI,LargeLanguageModels(LLMs),dataengineering,andcloudplatforms,withtheabilitytobuildscalableAI-poweredapplicationsforenterpriseenvironments.

KeyResponsibilities

AI&MachineLearningDevelopment

  • Design,develop,anddeploymachinelearninganddeeplearningmodels.
  • BuildAI-poweredsolutionsforprediction,recommendation,classification,andautomation.
  • DevelopandoptimizeGenerativeAIapplicationsusingLargeLanguageModels(LLMs).
  • Fine-tunefoundationmodelsfordomain-specificusecases.

GenerativeAI&LLMEngineering

  • DevelopapplicationsusingOpenAI,AzureOpenAI,Gemini,Claude,Llama,orsimilarmodels.
  • ImplementRetrieval-AugmentedGeneration(RAG)architectures.
  • DesignpromptengineeringstrategiesandAIorchestrationworkflows.
  • BuildAIagentsandconversationalAIsolutions.
  • Evaluatemodelperformance,bias,accuracy,andreliability.

DataEngineering&Analytics

  • Collect,clean,process,andanalyzelargedatasets.
  • DesignandimplementdatapipelinesforAIworkloads.
  • Workwithstructuredandunstructureddatasources.
  • Developfeatureengineeringandmodeltrainingframeworks.

MLOps&Deployment

  • DeployAImodelsintoproductionenvironments.
  • ImplementCI/CDpipelinesforAIapplications.
  • Monitormodelperformanceanddrift.
  • Establishmodelgovernance,versioning,andobservabilityframeworks.
  • Automateretraininganddeploymentprocesses.

Cloud&PlatformEngineering

  • BuildAIsolutionsonAWS,Azure,orGoogleCloudPlatform.
  • UtilizeAI/MLservicessuchasAzureAIServices,SageMaker,VertexAI,orequivalentplatforms.
  • Optimizemodelperformance,scalability,andcostefficiency.
  • EnsuresecuredeploymentofAIapplications.

RequiredSkills

ProgrammingLanguages

  • Python(Mandatory)
  • SQL
  • KnowledgeofJava,Go,orJavaScriptisanadvantage.

AI&MachineLearning

  • StrongunderstandingofMachineLearningalgorithmsandtechniques.
  • DeepLearningusingTensorFlow,PyTorch,orKeras.
  • NaturalLanguageProcessing(NLP).
  • ComputerVisionconcepts.
  • Modelevaluationandoptimization.

GenerativeAITechnologies

  • LargeLanguageModels(LLMs).
  • PromptEngineering.
  • RAG(Retrieval-AugmentedGeneration).
  • VectorDatabasessuchasPinecone,ChromaDB,Weaviate,FAISS,orMilvus.
  • AIAgentFrameworkssuchasLangChain,LangGraph,CrewAI,AutoGen,orSemanticKernel.

Data&DatabaseTechnologies

  • SQLandNoSQLdatabases.
  • DataWarehousingconcepts.
  • Datapreprocessingandfeatureengineering.
  • Distributeddataprocessingplatforms.

MLOps&DevOps

  • MLflow,Kubeflow,Airflow,orequivalenttools.
  • DockerandKubernetes.
  • CI/CDpipelines.
  • Gitandversioncontrolsystems.

CloudPlatforms

  • MicrosoftAzure
  • AmazonWebServices(AWS)
  • GoogleCloudPlatform(GCP)

PreferredSkills

  • ExperiencewithenterpriseAIimplementations.
  • KnowledgeofResponsibleAIandAIGovernance.
  • ExperienceinRetail,E-Commerce,Banking,Healthcare,orSupplyChaindomains.
  • FamiliaritywithReinforcementLearningandMulti-AgentSystems.
  • ExposuretoKnowledgeGraphsandSemanticSearch.
  • UnderstandingofAIsecurityandcompliancerequirements.

EducationalQualifications

  • Bachelor'sorMaster'sdegreeinComputerScience,ArtificialIntelligence,DataScience,Engineering,orarelatedfield.

SoftSkills

  • Stronganalyticalandproblem-solvingabilities.
  • Excellentcommunicationandstakeholdermanagementskills.
  • AbilitytotranslatebusinessrequirementsintoAIsolutions.
  • Strongcollaborationandteamworkskills.
  • InnovationmindsetwithapassionforemergingAItechnologies.

KeyResponsibilities/SuccessMetrics

  • SuccessfuldeploymentofAIsolutionsintoproduction.
  • Modelaccuracyandperformanceimprovement.
  • Reductioninmanualeffortthroughautomation.
  • Deliveryofscalableandcost-efficientAIplatforms.
  • BusinessvaluegeneratedthroughAIinitiatives.
  • CompliancewithResponsibleAIandgovernancestandards.

NicetoHaveCertifications

  • MicrosoftAzureAIEngineerAssociate
  • AWSCertifiedMachineLearningSpecialty
  • GoogleProfessionalMachineLearningEngineer
  • TensorFlowDeveloperCertification
  • DatabricksMachineLearningCertification
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