JAVA AI Engineer

Zensar Technologies • Bachelor's Degree • Python • 5 days ago
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Zensar Technologies

Zensar Technologies provides digital engineering and information technology services. Its practices cover experience design, cloud, data and application modernisation. The company serves banking, manufacturing, retail and healthcare clients.
zensar.com • HQ: Pune, India • Data & Analytics • Artificial Intelligence • Information Technology • 1001-5000 employees • Est. 1991

RoleOverview

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

KeyResponsibilities

  • Design,develop,anddeployAI/MLmodelsandGenerativeAIsolutions.
  • BuildintelligentapplicationsleveragingLargeLanguageModels(LLMs),Retrieval-AugmentedGeneration(RAG),andAgenticAIframeworks.
  • Developandoptimizemachinelearningpipelinesfortraining,evaluation,anddeployment.
  • Implementdatapreprocessing,featureengineering,andmodelperformancetuning.
  • IntegrateAIsolutionsintoenterpriseapplicationsthroughAPIsandmicroservices.
  • CollaboratewithDataEngineers,ProductManagers,Architects,andbusinessstakeholderstoidentifyAIusecases.
  • Monitormodelperformance,accuracy,drift,andscalabilityinproductionenvironments.
  • ImplementMLOpsbestpracticesformodelversioning,deployment,andmonitoring.
  • EnsureAIsolutionscomplywithsecurity,privacy,andresponsibleAIguidelines.
  • StaycurrentwithemergingAItechnologiesandindustrybestpractices.

RequiredSkills&Qualifications

  • Bachelor'sorMaster'sdegreeinComputerScience,ArtificialIntelligence,DataScience,orarelatedfield.
  • 4+yearsofexperienceinAI/MLdevelopment.
  • StrongprogrammingskillsinPython.
  • Hands-onexperiencewithmachinelearningframeworkssuchas:
    • TensorFlow
    • PyTorch
    • Scikit-learn
  • ExperiencewithGenerativeAI,LLMs,andpromptengineering.
  • KnowledgeofRAG,vectordatabases,embeddings,andsemanticsearch.
  • ExperiencewithRESTAPIs,microservices,andapplicationintegration.
  • Strongunderstandingofdatastructures,algorithms,andsoftwareengineeringprinciples.
  • ExperienceworkingwithSQLandNoSQLdatabases.
  • FamiliaritywithAgiledevelopmentmethodologies.

PreferredSkills

  • ExperiencewithAzureOpenAI,VertexAI,GoogleGemini,AnthropicClaude,orOpenAImodels.
  • ExposuretoLangChain,LangGraph,LlamaIndex,CrewAI,orsimilarAgenticAIframeworks.
  • ExperiencewithMLOpstoolssuchasMLflow,Kubeflow,orVertexAIPipelines.
  • KnowledgeofDocker,Kubernetes,andCI/CDpipelines.
  • ExperiencewithcloudplatformssuchasGCP,Azure,or AWS.

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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