[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-vertex-ai-global":3,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fvertex-ai":4,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fvertex-ai":199,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fvertex-ai":898},{},{"industry":5,"employment_type":25,"expertise_skills":30,"it_skills":106,"salary_currency":182,"processed_working_hours":196},[6,10,14,18,22],{"key":7,"label":8,"count":9},"insurance","Insurance",18,{"key":11,"label":12,"count":13},"banking","Banking",7,{"key":15,"label":16,"count":17},"financial services","Financial Services",3,{"key":19,"label":20,"count":21},"compensation","Compensation",1,{"key":23,"label":24,"count":21},"tools","Tools",[26],{"key":27,"label":28,"count":29},"permanent","PERMANENT",27,[31,34,38,41,44,48,52,55,58,61,64,67,70,73,76,79,82,85,88,91,94,97,100,103],{"key":32,"label":33,"slug":32,"count":13},"generative-ai","Generative Ai",{"key":35,"label":36,"slug":35,"count":37},"prompt-engineering","Prompt Engineering",6,{"key":39,"label":40,"slug":39,"count":37},"data-engineering","Data Engineering",{"key":42,"label":43,"slug":42,"count":37},"machine-learning","Machine Learning",{"key":45,"label":46,"slug":45,"count":47},"agentic-workflows","Agentic Workflows",5,{"key":49,"label":50,"slug":49,"count":51},"rag","Rag",4,{"key":53,"label":54,"slug":53,"count":51},"data-modeling","Data Modeling",{"key":56,"label":57,"slug":56,"count":51},"infrastructure-as-code","Infrastructure As Code",{"key":59,"label":60,"slug":59,"count":51},"risk-management","Risk Management",{"key":62,"label":63,"slug":62,"count":51},"observability","Observability",{"key":65,"label":66,"slug":65,"count":51},"automation","Automation",{"key":68,"label":69,"slug":68,"count":51},"data-quality","Data Quality",{"key":71,"label":72,"slug":71,"count":17},"distributed-systems","Distributed Systems",{"key":74,"label":75,"slug":74,"count":17},"data-validation","Data Validation",{"key":77,"label":78,"slug":77,"count":17},"mlops","Mlops",{"key":80,"label":81,"slug":80,"count":17},"ai-governance","Ai Governance",{"key":83,"label":84,"slug":83,"count":17},"agentic-ai","Agentic Ai",{"key":86,"label":87,"slug":86,"count":17},"site-reliability-engineering","Site Reliability Engineering",{"key":89,"label":90,"slug":89,"count":17},"model-monitoring","Model Monitoring",{"key":92,"label":93,"slug":92,"count":17},"model-evaluation","Model Evaluation",{"key":95,"label":96,"slug":95,"count":17},"vendor-management","Vendor Management",{"key":98,"label":99,"slug":98,"count":17},"data-governance","Data Governance",{"key":101,"label":102,"slug":101,"count":17},"performance-tuning","Performance Tuning",{"key":104,"label":105,"slug":104,"count":17},"software-engineering","Software Engineering",[107,110,114,118,122,126,130,133,136,139,142,145,148,151,154,155,158,161,164,167,170,173,176,179],{"key":108,"label":109,"slug":108,"count":29},"vertex-ai","Vertex Ai",{"key":111,"label":112,"slug":111,"count":113},"python","Python",22,{"key":115,"label":116,"slug":115,"count":117},"sql","SQL",13,{"key":119,"label":120,"slug":119,"count":121},"terraform","Terraform",11,{"key":123,"label":124,"slug":123,"count":125},"gcp","Gcp",10,{"key":127,"label":128,"slug":127,"count":129},"cicd","Ci\u002FCd",9,{"key":131,"label":132,"slug":131,"count":129},"aws","Aws",{"key":134,"label":135,"slug":134,"count":13},"docker","Docker",{"key":137,"label":138,"slug":137,"count":13},"langchain","Langchain",{"key":140,"label":141,"slug":140,"count":13},"google-cloud-platform","Google Cloud Platform",{"key":143,"label":144,"slug":143,"count":37},"bigquery","Bigquery",{"key":146,"label":147,"slug":146,"count":37},"git","Git",{"key":149,"label":150,"slug":149,"count":47},"sagemaker","Sagemaker",{"key":152,"label":153,"slug":152,"count":47},"mlflow","Mlflow",{"key":35,"label":36,"slug":35,"count":47},{"key":156,"label":157,"slug":156,"count":47},"vector-databases","Vector Databases",{"key":159,"label":160,"slug":159,"count":47},"google-adk","Google Adk",{"key":162,"label":163,"slug":162,"count":47},"snowflake","Snowflake",{"key":165,"label":166,"slug":165,"count":47},"cloud-run","Cloud Run",{"key":168,"label":169,"slug":168,"count":47},"azure-devops","Azure Devops",{"key":171,"label":172,"slug":171,"count":51},"typescript","Typescript",{"key":174,"label":175,"slug":174,"count":51},"java","Java",{"key":177,"label":178,"slug":177,"count":51},"kubernetes","Kubernetes",{"key":180,"label":181,"slug":180,"count":51},"langgraph","Langgraph",[183,185,187,189,192,194],{"key":184,"label":184,"count":121},"INR",{"key":186,"label":186,"count":13},"USD",{"key":188,"label":188,"count":47},"EUR",{"key":190,"label":190,"count":191},"PLN",2,{"key":193,"label":193,"count":21},"GBP",{"key":195,"label":195,"count":21},"SGD",[197],{"key":198,"label":198,"count":29},"FULL_TIME",{"total":29,"jobs":200},[201,263,300,326,356,433,468,503,540,578,612,658,679,708,733,759,777,801,835,863],{"id":202,"slug":203,"title":204,"raw_title":205,"is_featured":206,"company":207,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":210,"processed_country_iso_code_gmaps":212,"processed_home_office":214,"processed_salary_min":215,"processed_salary_max":216,"processed_salary_currency":184,"processed_salary_source":217,"processed_working_hours":218,"processed_employment_types":27,"processed_it_skills":219,"processed_it_skills_labels":220,"processed_job_expertise_skills":241,"processed_job_expertise_skills_labels":242,"max_cpc":21,"actual_cpc":21},88183,"ind-lead-software-engineer-hartford-global-services-private-limited-5","IND Lead Software Engineer",null,false,{"name":208,"slug":209,"logo_url":205},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[211],"Hyderabad",[213],"IN","onsite",2000000,3500000,"estimated",[198],{"aws":17,"etl":191,"gcp":17,"rag":17,"sql":191,"apex":51,"soql":51,"ci\u002Fcd":191,"rally":17,"copado":191,"python":191,"rest apis":17,"snowflake":17,"soap apis":17,"vertex ai":17,"salesforce":51,"visualforce":51,"workflow rules":51,"graph databases":17,"process builder":51,"salesforce flow":51,"informatica idmc":191,"vector databases":17,"lightning web components":51},[221,222,223,224,225,226,227,228,229,230,163,116,112,231,232,233,234,235,236,237,157,238,239,240],"Salesforce","Apex","Visualforce","Lightning Web Components","SOQL","Salesforce Flow","Process Builder","Workflow Rules","REST APIs","SOAP APIs","Informatica IDMC","CI\u002FCD","Copado","AWS","GCP","Vertex AI","RAG","Graph Databases","ETL","Rally",{"testing":51,"automation":51,"deployment":51,"data audits":51,"code reviews":51,"data quality":51,"data modeling":51,"security model":51,"data monitoring":51,"data validation":51,"poc development":17,"report creation":51,"sdlc governance":17,"user management":51,"data integration":51,"data warehousing":17,"agentic workflows":17,"dashboard creation":51,"salesforce development":51,"streaming technologies":17,"workflow configuration":51,"generative ai workflows":17,"salesforce administration":51,"custom object configuration":51,"unstructured data processing":17},[243,244,54,245,246,69,75,247,248,46,66,249,250,251,252,253,254,255,256,257,258,259,260,261,262],"Salesforce Administration","Salesforce Development","Security Model","Data Integration","Data Monitoring","Generative AI Workflows","Code Reviews","Testing","Deployment","User Management","Data Audits","Report Creation","Dashboard Creation","Workflow Configuration","Custom Object Configuration","POC Development","SDLC Governance","Data Warehousing","Streaming Technologies","Unstructured Data Processing",{"id":264,"slug":265,"title":266,"raw_title":205,"is_featured":206,"company":267,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":268,"processed_country_iso_code_gmaps":269,"processed_home_office":214,"processed_salary_min":270,"processed_salary_max":271,"processed_salary_currency":184,"processed_salary_source":217,"processed_working_hours":272,"processed_employment_types":27,"processed_it_skills":273,"processed_it_skills_labels":274,"processed_job_expertise_skills":288,"processed_job_expertise_skills_labels":289,"max_cpc":21,"actual_cpc":21},88187,"ind-senior-software-engineer-hartford-global-services-private-limited","IND Senior Software Engineer",{"name":208,"slug":209,"logo_url":205},[211],[213],1500000,2500000,[198],{"aws":51,"java":51,"arize":51,"azure":51,"ci\u002Fcd":51,"mlops":51,"python":51,"amazon q":191,"anaconda":51,"sagemaker":51,"terraform":51,"vertex ai":51,"gemini cli":191,"tensorflow":51,"claude code":191,"openai codex":191,"scikit-learn":51,"gemini enterprise":191,"microsoft copilot":191,"google cloud platform":51},[112,175,141,234,275,120,276,277,278,279,236,232,280,281,282,283,284,285,286,287],"Azure","TensorFlow","scikit-learn","Anaconda","SageMaker","MLOps","Arize","Claude Code","Gemini CLI","OpenAI Codex","Gemini Enterprise","Amazon Q","Microsoft Copilot",{"safe":51,"data drift":51,"model drift":51,"generative ai":17,"machine learning":51,"model monitoring":51,"agile development":51,"data quality assurance":51,"infrastructure as code":51,"performance evaluation":51,"stakeholder management":51,"full-stack software development":51},[43,90,290,291,292,293,294,295,296,297,298,299],"Data Drift","Model Drift","Data Quality Assurance","Performance Evaluation","Infrastructure as Code","Agile Development","SAFe","Stakeholder Management","Generative AI","Full-Stack Software Development",{"id":301,"slug":302,"title":303,"raw_title":205,"is_featured":206,"company":304,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":305,"processed_country_iso_code_gmaps":306,"processed_home_office":214,"processed_salary_min":270,"processed_salary_max":271,"processed_salary_currency":184,"processed_salary_source":217,"processed_working_hours":307,"processed_employment_types":27,"processed_it_skills":308,"processed_it_skills_labels":309,"processed_job_expertise_skills":318,"processed_job_expertise_skills_labels":319,"max_cpc":21,"actual_cpc":21},88186,"ind-senior-engineer-data-hartford-global-services-private-limited-2","IND Senior Engineer, Data",{"name":208,"slug":209,"logo_url":205},[211],[213],[198],{"adk":17,"aws":17,"etl":51,"sql":51,"ci\u002Fcd":17,"python":51,"harness":17,"jenkins":17,"tableau":17,"bigquery":17,"snowflake":51,"terraform":17,"vertex ai":17,"informatica":17,"thoughtspot":17,"cloud functions":17,"google cloud platform":17},[163,116,112,234,141,310,311,236,312,120,313,314,315,316,317,239,232],"BigQuery","Cloud Functions","Jenkins","Harness","ADK","ThoughtSpot","Tableau","Informatica",{"agentic ai":17,"data quality":51,"etl processes":51,"generative ai":17,"data pipelines":51,"data engineering":51,"data integration":51,"data orchestration":17,"data visualization":17,"prompt engineering":17,"model orchestration":17},[40,320,321,246,69,322,298,36,323,324,325],"Data Pipelines","ETL Processes","Data Visualization","Agentic AI","Model Orchestration","Data Orchestration",{"id":327,"slug":328,"title":329,"raw_title":205,"is_featured":206,"company":330,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":331,"processed_country_iso_code_gmaps":332,"processed_home_office":214,"processed_salary_min":333,"processed_salary_max":334,"processed_salary_currency":184,"processed_salary_source":217,"processed_working_hours":335,"processed_employment_types":27,"processed_it_skills":336,"processed_it_skills_labels":337,"processed_job_expertise_skills":345,"processed_job_expertise_skills_labels":346,"max_cpc":21,"actual_cpc":21},88180,"ind-director-software-engineering-hartford-global-services-private-limited","IND Director, Software Engineering",{"name":208,"slug":209,"logo_url":205},[211],[213],6000000,10000000,[198],{"aws":51,"gcp":17,"java":51,"devops":17,"python":51,"azure ai":17,"langchain":51,"langgraph":51,"vertex ai":51,"google adk":51,"typescript":51,"aws bedrock":51},[112,338,175,234,235,339,340,341,342,236,343,344],"TypeScript","Azure AI","LangChain","LangGraph","Google ADK","AWS Bedrock","DevOps",{"knowledge graphs":51,"agentic ai systems":51,"technical strategy":51,"product development":51,"software engineering":51,"workflow orchestration":51,"ai-augmented integration":51,"cloud-native environments":51,"event-driven architecture":51,"enterprise integration patterns":51},[105,347,348,349,350,351,352,353,354,355],"Enterprise Integration Patterns","Workflow Orchestration","Event-Driven Architecture","Agentic AI Systems","Knowledge Graphs","Technical Strategy","Product Development","Cloud-Native Environments","AI-Augmented Integration",{"id":357,"slug":358,"title":359,"raw_title":205,"is_featured":206,"company":360,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":363,"processed_country_iso_code_gmaps":364,"processed_home_office":365,"processed_salary_min":366,"processed_salary_max":367,"processed_salary_currency":186,"processed_salary_source":217,"processed_working_hours":368,"processed_employment_types":27,"processed_it_skills":369,"processed_it_skills_labels":370,"processed_job_expertise_skills":384,"processed_job_expertise_skills_labels":385,"max_cpc":21,"actual_cpc":21},88128,"avp-data-platform-engineering-hartford-fire-ins-co-2","AVP, Data Platform Engineering",{"name":361,"slug":362,"logo_url":205},"Hartford Fire Ins. Co","hartford-fire-ins-co",[],[],"hybrid",201500,302500,[198],{"api":51,"sql":51,"llms":51,"ci\u002Fcd":51,"spark":51,"python":51,"tableau":51,"dataflow":51,"dataproc":51,"pinecone":51,"postgres":51,"snowflake":51,"vertex ai":51,"opensearch":51,"thoughtspot":51,"google bigquery":51,"graph databases":51,"informatica idmc":51,"knowledge graphs":51,"snowflake cortex":51,"vector databases":51,"prompt engineering":51,"gcp gemini enterprise":51,"infrastructure-as-code":51,"retrieval-augmented generation (rag)":51},[163,371,372,373,231,374,316,315,116,112,375,36,376,157,236,377,378,379,232,380,381,382,383,351,238],"Google BigQuery","Dataproc","Dataflow","Spark","LLMs","Retrieval-Augmented Generation (RAG)","Postgres","OpenSearch","Pinecone","Infrastructure-as-Code","API","Snowflake Cortex","GCP Gemini Enterprise",{"okrs":51,"lineage":51,"privacy":51,"security":51,"automation":51,"compliance":51,"reliability":51,"data quality":51,"cybersecurity":51,"observability":51,"orchestration":51,"vector search":51,"ai integration":51,"chat with data":51,"data analytics":51,"data ingestion":51,"metrics layers":51,"prioritization":51,"transformation":51,"cost management":51,"data governance":51,"risk management":51,"semantic layers":51,"data warehousing":51,"agentic analytics":51,"ai\u002Fml integration":51,"data architecture":51,"semantic modeling":51,"governed analytics":51,"performance tuning":51,"product management":51,"contextual metadata":51,"metadata management":51,"operational support":51,"reusable frameworks":51,"roadmap development":51,"adoption measurement":51,"cloud data platforms":51,"financial management":51,"business intelligence":51,"platform architecture":51,"self-service analytics":51,"stakeholder engagement":51,"dashboard modernization":51,"data consumption models":51,"vendor data integration":51,"business user enablement":51,"conversational analytics":51,"engineering productivity":51,"platform standardization":51,"data platform engineering":51,"external data acquisition":51,"ontology-driven solutions":51,"third-party data strategy":51},[386,387,388,389,260,390,391,392,393,394,63,102,395,66,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,99,428,429,430,69,431,432,60],"Data Platform Engineering","Data Architecture","Data Analytics","Business Intelligence","Cloud Data Platforms","Platform Architecture","Data Ingestion","Orchestration","Transformation","Reliability","Cost Management","Security","Operational Support","Engineering Productivity","Platform Standardization","Reusable Frameworks","Self-Service Analytics","Governed Analytics","Semantic Modeling","Dashboard Modernization","Business User Enablement","AI Integration","Conversational Analytics","Chat with Data","Agentic Analytics","Vector Search","AI\u002FML Integration","Semantic Layers","Metrics Layers","Ontology-Driven Solutions","Contextual Metadata","Third-Party Data Strategy","Vendor Data Integration","External Data Acquisition","Data Consumption Models","Product Management","Roadmap Development","Prioritization","Stakeholder Engagement","OKRs","Financial Management","Adoption Measurement","Cybersecurity","Privacy","Compliance","Lineage","Metadata Management",{"id":434,"slug":435,"title":436,"raw_title":205,"is_featured":206,"company":437,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":440,"processed_country_iso_code_gmaps":442,"processed_home_office":365,"processed_salary_min":443,"processed_salary_max":444,"processed_salary_currency":184,"processed_salary_source":217,"processed_working_hours":445,"processed_employment_types":27,"processed_it_skills":446,"processed_it_skills_labels":447,"processed_job_expertise_skills":456,"processed_job_expertise_skills_labels":457,"max_cpc":21,"actual_cpc":21},83098,"gcp-data-and-ai-engineer-avp-f337-deutsche-india-private-limited-pune-branch","GCP Data and AI Engineer, AVP",{"name":438,"slug":439,"logo_url":205},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[441],"Pune",[213],3000000,5000000,[198],{"aws":17,"gcp":51,"sql":51,"azure":17,"ci\u002Fcd":51,"docker":51,"python":51,"pub\u002Fsub":51,"bigquery":51,"cloud run":51,"rest apis":51,"terraform":51,"vertex ai":51,"cloud build":51,"dialogflow cx":51,"apache airflow":51,"cloud composer":51,"artifact registry":51,"gemini enterprise agent platform":51,"google agent development kit (adk)":51},[112,116,235,310,448,449,166,120,232,450,451,135,229,236,452,453,454,455,275,234],"Cloud Composer","Apache Airflow","Cloud Build","Artifact Registry","Dialogflow CX","Gemini Enterprise Agent Platform","Google Agent Development Kit (ADK)","Pub\u002FSub",{"llms":51,"agentops":51,"etl testing":51,"rag systems":51,"data modeling":51,"generative ai":51,"system design":51,"data engineering":51,"embedding models":51,"vector databases":51,"agentic workflows":51,"conversational ai":51,"query optimization":51,"distributed systems":51,"multi-agent systems":51,"infrastructure as code":51,"security and governance":51,"ai application development":51},[40,458,298,459,46,460,72,54,461,294,462,463,464,375,157,465,466,467],"AI Application Development","RAG Systems","System Design","Query Optimization","Security and Governance","ETL Testing","Conversational AI","Embedding Models","Multi-agent Systems","AgentOps",{"id":469,"slug":470,"title":471,"raw_title":205,"is_featured":206,"company":472,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":473,"processed_country_iso_code_gmaps":475,"processed_home_office":365,"processed_salary_min":477,"processed_salary_max":478,"processed_salary_currency":186,"processed_salary_source":217,"processed_working_hours":479,"processed_employment_types":27,"processed_it_skills":480,"processed_it_skills_labels":481,"processed_job_expertise_skills":488,"processed_job_expertise_skills_labels":489,"max_cpc":21,"actual_cpc":21},88143,"director-data-and-analytics-ai-engineering-hartford-fire-ins-co","Director Data and Analytics AI Engineering",{"name":361,"slug":362,"logo_url":205},[474],"Hartford",[476],"US",156000,234000,[198],{"llms":51,"devops":17,"pinecone":17,"postgres":17,"data apis":17,"snowflake":51,"vertex ai":17,"data lakes":51,"opensearch":17,"ai platforms":51,"data pipelines":51,"data integration":51,"data warehousing":51,"vector databases":51,"agentic frameworks":17,"cloud technologies":51,"prompt engineering":51,"business intelligence":51,"real-time data streaming":17,"retrieval-augmented generation (rag)":51},[163,482,375,36,376,157,236,377,378,379,320,260,483,246,389,484,344,485,486,487],"AI Platforms","Data Lakes","Cloud Technologies","Data APIs","Real-time Data Streaming","Agentic Frameworks",{"ai\u002Fml":51,"pricing":51,"reserving":51,"data quality":51,"underwriting":51,"data modeling":51,"data products":51,"agile at scale":51,"data governance":51,"semantic layers":51,"data engineering":51,"budget management":51,"data architecture":51,"data modernization":51,"actuarial analytics":51,"financial analytics":51,"insurance analytics":51,"portfolio management":51,"analytics solution delivery":51},[40,387,99,69,490,491,492,493,494,495,496,497,498,499,54,500,413,501,502],"Actuarial Analytics","Insurance Analytics","Pricing","Reserving","Underwriting","Portfolio Management","Financial Analytics","Budget Management","Agile at Scale","AI\u002FML","Data Modernization","Data Products","Analytics Solution Delivery",{"id":504,"slug":505,"title":506,"raw_title":205,"is_featured":206,"company":507,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":510,"processed_country_iso_code_gmaps":512,"processed_home_office":365,"processed_salary_min":514,"processed_salary_max":515,"processed_salary_currency":188,"processed_salary_source":217,"processed_working_hours":516,"processed_employment_types":27,"processed_it_skills":517,"processed_it_skills_labels":518,"processed_job_expertise_skills":528,"processed_job_expertise_skills_labels":529,"max_cpc":21,"actual_cpc":21},84254,"senior-aillm-data-scientist-in-agentic-ai-ing-hubs-bv-turkiye-2","Senior AI\u002FLLM Data Scientist in Agentic AI",{"name":508,"slug":509,"logo_url":205},"ING Hubs B.V. Turkiye","ing-hubs-bv-turkiye",[511],"Sarıyer",[513],"TR",60000,90000,[198],{"peft":17,"crewai":17,"python":51,"autogen":17,"azure ai":17,"langchain":17,"langgraph":17,"vertex ai":17,"embeddings":51,"fine-tuning":17,"openai apis":17,"api integration":51,"semantic kernel":17,"vector databases":51,"prompt engineering":51,"workflow orchestration":17,"distributed ai architectures":17,"retrieval-augmented generation (rag)":51},[112,341,340,519,520,521,339,522,236,157,523,376,36,524,525,526,348,527],"Semantic Kernel","CrewAI","AutoGen","OpenAI APIs","Embeddings","Fine-tuning","PEFT","API Integration","Distributed AI Architectures",{"agentic ai":51,"data science":51,"ai evaluation":17,"ai governance":17,"ai monitoring":17,"generative ai":51,"machine learning":51,"ai agent development":51,"multi-agent workflows":51,"ai solution deployment":51,"ai in regulated environments":17,"large language models (llms)":51,"natural language processing (nlp)":51},[530,43,531,298,323,532,533,534,535,536,537,538,539],"Data Science","Natural Language Processing (NLP)","Large Language Models (LLMs)","AI Agent Development","Multi-agent Workflows","AI Solution Deployment","AI Governance","AI Monitoring","AI Evaluation","AI in Regulated Environments",{"id":541,"slug":542,"title":543,"raw_title":205,"is_featured":206,"company":544,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":548,"processed_country_iso_code_gmaps":550,"processed_home_office":365,"processed_salary_min":552,"processed_salary_max":553,"processed_salary_currency":188,"processed_salary_source":217,"processed_working_hours":554,"processed_employment_types":27,"processed_it_skills":555,"processed_it_skills_labels":556,"processed_job_expertise_skills":567,"processed_job_expertise_skills_labels":568,"max_cpc":21,"actual_cpc":21},84221,"risk-ai-data-scientist-ing-bank-personeel-bv","Risk AI Data Scientist",{"name":545,"slug":546,"logo_url":547},"ING Bank Personeel BV","ing-bank-personeel-bv","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[549],"Amsterdam",[551],"NL",80000,120000,[198],{"git":51,"sas":191,"sql":51,"faiss":51,"python":51,"pytorch":51,"langchain":51,"pipelines":51,"vertex ai":51,"workbench":51,"llamaindex":51,"tensorflow":51,"azure devops":51,"vertex search":51,"huggingface peft":51,"google cloud platform":51,"huggingface transformers":51},[112,116,557,276,558,559,560,340,561,562,563,141,236,564,565,147,566],"PyTorch","SAS","HuggingFace Transformers","HuggingFace PEFT","LlamaIndex","FAISS","Vertex Search","Workbench","Azure DevOps","Pipelines",{"agile\u002Fscrum":51,"ai governance":51,"nlp pipelines":51,"rag pipelines":51,"risk management":51,"agentic ai workflows":51,"end-to-end pipelines":51,"credit risk modelling":51,"model lifecycle governance":51,"structured data governance":51,"unstructured data handling":51},[60,569,570,536,571,572,573,574,575,576,577],"Credit Risk Modelling","Model Lifecycle Governance","RAG Pipelines","Agentic AI Workflows","NLP Pipelines","Unstructured Data Handling","Structured Data Governance","End-to-end Pipelines","Agile\u002FScrum",{"id":579,"slug":580,"title":581,"raw_title":205,"is_featured":206,"company":582,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":583,"processed_country_iso_code_gmaps":584,"processed_home_office":365,"processed_salary_min":270,"processed_salary_max":271,"processed_salary_currency":184,"processed_salary_source":217,"processed_working_hours":585,"processed_employment_types":27,"processed_it_skills":586,"processed_it_skills_labels":587,"processed_job_expertise_skills":603,"processed_job_expertise_skills_labels":604,"max_cpc":21,"actual_cpc":21},88190,"ind-staff-engineer-reliability-hartford-global-services-private-limited","IND Staff Engineer, Reliability",{"name":208,"slug":209,"logo_url":205},[211],[213],[198],{"gke":17,"kms":17,"istio":191,"anthos":191,"pub\u002Fsub":17,"bigquery":51,"dataflow":17,"dataproc":17,"cloud iam":51,"cloud run":17,"scheduler":17,"terraform":17,"vertex ai":17,"cloud build":17,"cloud logging":51,"cloud storage":17,"cloud composer":17,"cloudformation":191,"secret manager":17,"cloud functions":17,"error reporting":51,"cloud monitoring":51,"microsoft office":191,"artifact registry":17,"vpc service controls":17,"google cloud platform (gcp)":51},[588,310,236,589,590,591,455,373,372,448,450,451,120,592,593,594,595,596,311,166,597,598,599,600,601,602],"Google Cloud Platform (GCP)","Cloud IAM","GKE","Cloud Storage","CloudFormation","Microsoft Office","Cloud Monitoring","Cloud Logging","Error Reporting","Scheduler","KMS","Secret Manager","VPC Service Controls","Istio","Anthos",{"automation":51,"governance":51,"networking":51,"observability":51,"cost management":51,"cloud operations":51,"capacity planning":51,"disaster recovery":51,"performance tuning":51,"incident management":51,"security compliance":51,"site reliability engineering":51},[605,87,606,607,608,396,66,63,609,102,610,611],"Cloud Operations","Incident Management","Disaster Recovery","Security Compliance","Capacity Planning","Governance","Networking",{"id":613,"slug":614,"title":615,"raw_title":205,"is_featured":206,"company":616,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":620,"processed_country_iso_code_gmaps":622,"processed_home_office":365,"processed_salary_min":624,"processed_salary_max":625,"processed_salary_currency":188,"processed_salary_source":217,"processed_working_hours":626,"processed_employment_types":27,"processed_it_skills":627,"processed_it_skills_labels":628,"processed_job_expertise_skills":645,"processed_job_expertise_skills_labels":646,"max_cpc":21,"actual_cpc":21},71234,"devops-engineermfd3238-allianz-insurance","DevOps Engineer(m\u002Ff\u002Fd)_3238",{"name":617,"slug":618,"logo_url":619},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[621],"BARCELONA",[623],"ES",70000,100000,[198],{"aws":51,"gcp":51,"git":51,"bash":51,"helm":51,"azure":51,"vault":17,"docker":51,"mlflow":17,"pulumi":51,"python":51,"ansible":51,"datadog":51,"grafana":51,"jenkins":51,"azure ml":17,"kubeflow":17,"elk stack":51,"gitlab ci":51,"kustomize":51,"sagemaker":17,"terraform":51,"vertex ai":17,"kubernetes":51,"prometheus":51,"azure devops":51,"cloudformation":51,"github actions":51,"aws secrets manager":17},[312,629,630,565,234,275,235,135,178,631,632,120,633,592,634,112,635,636,637,638,639,147,640,641,642,643,279,236,644],"GitLab CI","GitHub Actions","Helm","Kustomize","Pulumi","Ansible","Bash","Prometheus","Grafana","Datadog","ELK stack","Vault","AWS Secrets Manager","MLflow","Kubeflow","Azure ML",{"ci\u002Fcd":51,"mlops":17,"devops":51,"devsecops":51,"ai\u002Fllm deployment":17,"ai\u002Fml environment":17,"incident response":51,"root cause analysis":51,"platform engineering":51,"infrastructure as code":51,"monitoring and logging":51,"container orchestration":51,"technical documentation":51,"regulated financial services":17,"site reliability engineering":51,"cloud infrastructure management":51},[344,87,647,232,648,649,294,650,651,652,653,654,655,280,656,657],"Platform Engineering","Cloud Infrastructure Management","Container Orchestration","Monitoring and Logging","DevSecOps","Incident Response","Root Cause Analysis","Technical Documentation","AI\u002FML Environment","AI\u002FLLM Deployment","Regulated Financial Services",{"id":659,"slug":660,"title":661,"raw_title":205,"is_featured":206,"company":662,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":663,"processed_country_iso_code_gmaps":664,"processed_home_office":214,"processed_salary_min":270,"processed_salary_max":271,"processed_salary_currency":184,"processed_salary_source":217,"processed_working_hours":665,"processed_employment_types":27,"processed_it_skills":666,"processed_it_skills_labels":667,"processed_job_expertise_skills":669,"processed_job_expertise_skills_labels":670,"max_cpc":21,"actual_cpc":21},78800,"senior-software-engineerdata-scientist-hartford-global-services-private-limited-2","Senior Software Engineer\u002FData Scientist",{"name":208,"slug":209,"logo_url":205},[211],[213],[198],{"git":17,"sql":51,"unix":17,"mlflow":17,"python":51,"azure ml":191,"sagemaker":191,"vertex ai":191},[112,116,147,668,642,236,279,644],"Unix",{"llm":191,"rag":191,"gbms":51,"glms":51,"governance":17,"a\u002Fb testing":17,"segmentation":191,"generative ai":191,"data validation":17,"machine learning":51,"model evaluation":51,"model monitoring":17,"agentic workflows":191,"insurance pricing":191,"vendor management":17,"prompt engineering":191,"statistical modeling":51,"bias\u002Ffairness testing":191},[671,43,672,673,93,75,96,674,90,610,675,676,677,298,678,237,36,46],"Statistical Modeling","GLMs","GBMs","A\u002FB Testing","Insurance Pricing","Segmentation","Bias\u002FFairness Testing","LLM",{"id":680,"slug":681,"title":682,"raw_title":205,"is_featured":206,"company":683,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":684,"processed_country_iso_code_gmaps":685,"processed_home_office":214,"processed_salary_min":686,"processed_salary_max":443,"processed_salary_currency":184,"processed_salary_source":217,"processed_working_hours":687,"processed_employment_types":27,"processed_it_skills":688,"processed_it_skills_labels":689,"processed_job_expertise_skills":698,"processed_job_expertise_skills_labels":699,"max_cpc":21,"actual_cpc":21},78796,"data-ai-engineering-professionals-data-engineering-analytics-aiml-reliability-engineering-hartford-global-services-private-limited","Data & AI Engineering Professionals (Data Engineering, Analytics, AI\u002FML & Reliability Engineering)",{"name":208,"slug":209,"logo_url":205},[211],[213],800000,[198],{"aws":17,"emr":17,"gcp":17,"rag":17,"sql":17,"sre":17,"hadoop":17,"python":17,"etl\u002Felt":17,"fastapi":17,"pyspark":17,"pytorch":17,"snowflake":17,"terraform":17,"vertex ai":17,"databricks":17,"informatica":17,"scikit-learn":17},[690,163,691,692,235,234,237,236,116,112,693,317,694,695,696,697,557,120],"PySpark","Databricks","ETL\u002FELT","SRE","EMR","Hadoop","FastAPI","Scikit-learn",{"ai\u002Fml":17,"applied ai":17,"data analysis":17,"generative ai":17,"ml\u002Fai platforms":17,"data engineering":17,"data reliability":17,"machine learning":17,"big data platforms":17,"agentic ai solutions":17,"statistical modelling":17,"platform administration":17,"site reliability engineering":17},[40,700,701,702,703,499,298,704,705,706,43,87,707],"Data Analysis","Data Reliability","Big Data Platforms","Platform Administration","Agentic AI Solutions","Applied AI","Statistical Modelling","ML\u002FAI Platforms",{"id":709,"slug":710,"title":711,"raw_title":205,"is_featured":206,"company":712,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":715,"processed_country_iso_code_gmaps":717,"processed_home_office":365,"processed_salary_min":514,"processed_salary_max":515,"processed_salary_currency":188,"processed_salary_source":217,"processed_working_hours":719,"processed_employment_types":27,"processed_it_skills":720,"processed_it_skills_labels":721,"processed_job_expertise_skills":725,"processed_job_expertise_skills_labels":726,"max_cpc":21,"actual_cpc":21},71867,"senior-ai-engineer-fmx-f063-db-global-technology-srl-2","Senior AI Engineer (f\u002Fm\u002Fx)",{"name":713,"slug":714,"logo_url":205},"F063 DB Global Technology SRL","f063-db-global-technology-srl",[716],"Bukarest",[718],"RO",[198],{"rag":51,"ci\u002Fcd":17,"python":51,"terraform":17,"vertex ai":51,"api design":17,"dialogflow":191,"google adk":51,"javascript":17,"typescript":17,"github actions":17,"google cloud platform":51},[112,338,722,141,236,342,237,120,630,232,723,724],"JavaScript","API Design","DialogFlow",{"rag systems":51,"agentic workflows":51,"delivery automation":17,"software engineering":51,"infrastructure-as-code":17,"production engineering":51,"security and compliance":51,"conversational applications":51,"evaluation and quality gates":51,"llm-powered process orchestration":51},[105,727,46,459,728,729,730,731,380,732],"LLM-powered Process Orchestration","Conversational Applications","Security and Compliance","Evaluation and Quality Gates","Production Engineering","Delivery Automation",{"id":734,"slug":735,"title":736,"raw_title":205,"is_featured":206,"company":737,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":738,"processed_country_iso_code_gmaps":739,"processed_home_office":365,"processed_salary_min":215,"processed_salary_max":216,"processed_salary_currency":184,"processed_salary_source":217,"processed_working_hours":740,"processed_employment_types":27,"processed_it_skills":741,"processed_it_skills_labels":742,"processed_job_expertise_skills":751,"processed_job_expertise_skills_labels":752,"max_cpc":21,"actual_cpc":21},78817,"senior-software-engineerai-hartford-global-services-private-limited","Senior Software Engineer\u002FAI",{"name":208,"slug":209,"logo_url":205},[211],[213],[198],{"ecs":17,"iam":17,"java":17,"automl":17,"python":51,"cloud run":17,"langchain":51,"langgraph":51,"vertex ai":51,"google adk":51,"networking":17,"agent engine":51,"llm fine-tuning":17,"generative ai apis":17,"prompt engineering":17,"vertex ai search engine":17},[112,175,342,341,138,743,236,166,744,745,746,611,747,748,749,750],"Agent Engine","ECS","Vertex AI Search Engine","IAM","LLM fine-tuning","Prompt engineering","AutoML","Generative AI APIs",{"genai development":51,"software engineering":51,"agentic ai development":51,"technical documentation":17,"ai solution architecture":17,"proof-of-concepts (pocs)":17,"enterprise architecture alignment":17},[105,753,754,755,756,757,758],"GenAI development","Agentic AI development","AI solution architecture","Enterprise architecture alignment","Proof-of-concepts (POCs)","Technical documentation",{"id":760,"slug":761,"title":762,"raw_title":205,"is_featured":206,"company":763,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":766,"processed_country_iso_code_gmaps":768,"processed_home_office":214,"processed_salary_min":514,"processed_salary_max":515,"processed_salary_currency":195,"processed_salary_source":217,"processed_working_hours":770,"processed_employment_types":27,"processed_it_skills":771,"processed_it_skills_labels":772,"processed_job_expertise_skills":774,"processed_job_expertise_skills_labels":775,"max_cpc":21,"actual_cpc":21},68015,"so-mlops-integration-engineer-gmet-1011-united-overseas-bank-ltd","SO MLOps Integration Engineer, GMET",{"name":764,"slug":765,"logo_url":205},"United Overseas Bank Ltd","united-overseas-bank-ltd",[767],"Singapore",[769],"SG",[198],{"aws":17,"gcp":17,"sql":17,"azure":17,"kafka":17,"spark":17,"docker":51,"mlflow":17,"python":51,"jenkins":17,"azure ml":17,"kubeflow":17,"gitlab ci":17,"sagemaker":17,"vertex ai":17,"kubernetes":51,"azure devops":17},[112,135,178,234,275,235,642,643,150,644,236,312,629,565,116,374,773],"Kafka",{"ci\u002Fcd":51,"mlops":51,"data engineering":17,"financial services":191,"model lifecycle management":51},[280,232,776,40,16],"Model Lifecycle Management",{"id":778,"slug":779,"title":780,"raw_title":205,"is_featured":206,"company":781,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":782,"processed_country_iso_code_gmaps":784,"processed_home_office":365,"processed_salary_min":785,"processed_salary_max":552,"processed_salary_currency":188,"processed_salary_source":217,"processed_working_hours":786,"processed_employment_types":27,"processed_it_skills":787,"processed_it_skills_labels":788,"processed_job_expertise_skills":794,"processed_job_expertise_skills_labels":795,"max_cpc":21,"actual_cpc":21},58043,"seniorlead-gcp-data-engineer-ing-hubs-bv-turkiye-2","Senior\u002FLead GCP Data Engineer",{"name":508,"slug":509,"logo_url":205},[783],"Istanbul",[513],50000,[198],{"dbt":191,"sql":51,"ci\u002Fcd":17,"kafka":191,"mlops":191,"python":51,"airflow":51,"pub\u002Fsub":191,"pyspark":51,"bigquery":51,"dataflow":191,"elk stack":191,"vertex ai":191,"dialogflow":191,"cloud storage":51,"cloud composer":51,"version control":17,"google cloud platform":51},[690,789,112,116,141,310,591,448,232,790,791,280,236,792,773,455,373,793],"Airflow","Version Control","ELK Stack","Dialogflow","dbt",{"data modeling":51,"streaming data":191,"data pipeline design":51,"event-driven architecture":191,"infrastructure provisioning":191,"monitoring and observability":191,"software engineering best practices":17},[54,796,797,798,799,349,800],"Data Pipeline Design","Software Engineering Best Practices","Infrastructure Provisioning","Monitoring and Observability","Streaming Data",{"id":802,"slug":803,"title":804,"raw_title":205,"is_featured":206,"company":805,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":808,"processed_country_iso_code_gmaps":810,"processed_home_office":365,"processed_salary_min":811,"processed_salary_max":812,"processed_salary_currency":186,"processed_salary_source":217,"processed_working_hours":813,"processed_employment_types":27,"processed_it_skills":814,"processed_it_skills_labels":815,"processed_job_expertise_skills":821,"processed_job_expertise_skills_labels":822,"max_cpc":21,"actual_cpc":21},83651,"senior-staff-ai-program-manager-government-employees-insurance-company","Senior Staff AI Program Manager",{"name":806,"slug":807,"logo_url":205},"Government Employees Insurance Company","government-employees-insurance-company",[809],"Bethesda",[476],130000,260000,[198],{"llmops":191,"powerbi":17,"tableau":17,"ai agents":191,"vertex ai":191,"databricks":191,"aws bedrock":191,"azure openai":191,"vector databases":191,"data visualization platforms":17},[816,316,817,691,236,343,818,819,157,820],"PowerBI","Data Visualization Platforms","Azure OpenAI","LLMOps","AI Agents",{"budgeting":17,"ai governance":17,"api management":17,"data platforms":17,"risk management":17,"vendor management":17,"enterprise systems":17,"program management":51,"agile methodologies":51,"technology delivery":51,"ai platform strategy":51,"cloud infrastructure":17,"lean experimentation":17,"portfolio governance":51,"cross-functional execution":51},[823,824,825,826,827,536,60,828,829,830,831,832,833,96,834],"AI Platform Strategy","Program Management","Portfolio Governance","Technology Delivery","Cross-functional Execution","Agile Methodologies","Lean Experimentation","Cloud Infrastructure","API Management","Data Platforms","Enterprise Systems","Budgeting",{"id":836,"slug":837,"title":838,"raw_title":205,"is_featured":206,"company":839,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":840,"processed_country_iso_code_gmaps":841,"processed_home_office":365,"processed_salary_min":842,"processed_salary_max":843,"processed_salary_currency":186,"processed_salary_source":217,"processed_working_hours":844,"processed_employment_types":27,"processed_it_skills":845,"processed_it_skills_labels":846,"processed_job_expertise_skills":855,"processed_job_expertise_skills_labels":856,"max_cpc":21,"actual_cpc":21},67168,"sr-ai-engineer-platform-engineering-hartford-fire-ins-co","Sr AI Engineer - Platform Engineering",{"name":361,"slug":362,"logo_url":205},[],[],127600,191400,[198],{"gcp":51,"iam":17,"mcp":51,"sso":17,"ci\u002Fcd":51,"oauth":17,"docker":17,"python":51,"alloydb":51,"openspec":17,"langchain":51,"langgraph":51,"terraform":51,"vertex ai":51,"google adk":51,"postgresql":51,"typescript":51,"bmad-method":17,"github spec-kit":17},[112,338,120,235,236,847,848,340,341,342,849,850,851,852,232,135,853,854,746],"AlloyDB","PostgreSQL","MCP","GitHub Spec-Kit","OpenSpec","BMAD-METHOD","OAuth","SSO",{"rag":51,"graphrag":51,"llm safety":17,"observability":17,"prompt engineering":17,"security & governance":51,"agentic ai architecture":51,"spec-driven development":17,"agent harness engineering":51},[857,237,858,859,860,861,63,862,36],"Agentic AI Architecture","GraphRAG","Agent Harness Engineering","Spec-Driven Development","Security & Governance","LLM Safety",{"id":864,"slug":865,"title":866,"raw_title":205,"is_featured":206,"company":867,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":870,"processed_country_iso_code_gmaps":871,"processed_home_office":365,"processed_salary_min":872,"processed_salary_max":873,"processed_salary_currency":186,"processed_salary_source":217,"processed_working_hours":874,"processed_employment_types":27,"processed_it_skills":875,"processed_it_skills_labels":876,"processed_job_expertise_skills":887,"processed_job_expertise_skills_labels":888,"max_cpc":21,"actual_cpc":897},80336,"senior-ai-cloud-platform-engineer-allstate-insurance-co","Senior AI Cloud Platform Engineer",{"name":868,"slug":869,"logo_url":205},"Allstate Insurance Co.","allstate-insurance-co",[],[],85000,145075,[198],{"aws":51,"env0":191,"tofu":191,"openai":17,"python":51,"terraform":51,"vertex ai":51,"agentic ai":17,"aws bedrock":17,"aws sagemaker":17,"microsoft azure":51,"azure ai foundry":17,"prompt engineering":17,"google cloud platform":51,"foundational model apis":17,"infrastructure as code (iac)":51,"continuous delivery pipelines":51,"large language model (llm) apis":17},[112,120,877,234,141,236,878,879,323,880,343,881,882,36,883,884,885,886],"Microsoft Azure","Azure AI Foundry","OpenAI","AWS SageMaker","Infrastructure as Code (IaC)","Continuous Delivery Pipelines","Large Language Model (LLM) APIs","Foundational Model APIs","Tofu","Env0",{"automation":51,"performance tuning":17,"continuous delivery":51,"post-mortem analysis":17,"scalability planning":17,"open source integration":17,"test-driven development":51,"cloud platform engineering":51,"infrastructure engineering":51,"technical policy improvement":17},[889,890,891,892,893,102,894,895,66,896],"Cloud Platform Engineering","Infrastructure Engineering","Test-Driven Development","Continuous Delivery","Post-Mortem Analysis","Scalability Planning","Open Source Integration","Technical Policy Improvement",0.5,{"total":21,"jobs":899},[900],{"id":901,"slug":902,"title":903,"raw_title":205,"is_featured":904,"company":905,"raw_hiringOrganization_logo_url":205,"processed_city_gmaps":909,"processed_country_iso_code_gmaps":911,"processed_home_office":913,"processed_salary_min":914,"processed_salary_max":915,"processed_salary_currency":188,"processed_salary_source":205,"processed_working_hours":916,"processed_employment_types":28,"processed_it_skills":918,"processed_it_skills_labels":205,"processed_job_expertise_skills":919,"processed_job_expertise_skills_labels":920,"max_cpc":927,"actual_cpc":205},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":906,"slug":907,"logo_url":908},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[910],"Frankfurt am Main",[912],"DE","HYBRID",45000,65000,[917],"full_time",{},{"Financial Analysis":17,"Regulatory Compliance":17,"New Customer Acquisition":17,"Private Banking Advisory":17,"Banking Products Knowledge":17,"Customer Relationship Management":17},[921,922,923,924,925,926],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]