[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-responsible-ai-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fresponsible-ai?page=3":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fresponsible-ai?page=3":796,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fresponsible-ai?page=3":989},{},{"total":5,"jobs":6},82,[7,76,149,185,220,258,306,350,406,432,468,507,522,561,621,658,696,726,754,776],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":17,"processed_country_iso_code_gmaps":19,"processed_home_office":21,"processed_salary_min":22,"processed_salary_max":23,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":26,"processed_employment_types":11,"processed_it_skills":28,"processed_it_skills_labels":30,"processed_job_expertise_skills":46,"processed_job_expertise_skills_labels":49,"max_cpc":75,"actual_cpc":75},84299,"customer-journey-expert-ing-hubs-bv-philippine-branch-9","Customer Journey Expert",null,false,{"name":14,"slug":15,"logo_url":16},"ING Hubs B.V. Philippine Branch","ing-hubs-bv-philippine-branch","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[18],"Makati City",[20],"PH","hybrid",60000,100000,"PHP","estimated",[27],"FULL_TIME",{"fcrm":29,"hive":29,"llms":29,"knime":29,"python":29,"jupyter":29,"quantexa":29,"agentic ai":29,"servicenow":29,"generative ai":29,"machine learning":29,"prompt engineering":29,"ai-enabled workflows":29,"ai\u002Fanalytics platforms":29,"retrieval-augmented generation (rag)":29},2,[31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"Python","KNIME","Hive","Jupyter","ServiceNow","FCRM","Quantexa","AI\u002FAnalytics platforms","Generative AI","Machine Learning","Agentic AI","LLMs","Retrieval-Augmented Generation (RAG)","Prompt Engineering","AI-enabled workflows",{"scrum":47,"devops":47,"statistics":29,"ai governance":29,"data analysis":48,"data security":29,"cyber security":29,"explainability":29,"responsible ai":29,"business analysis":48,"platform security":29,"product ownership":48,"problem resolution":48,"agile methodologies":47,"incident management":48,"information security":29,"model risk management":29,"regulatory compliance":29,"model-driven solutions":29,"operational resilience":29,"transaction monitoring":29,"customer journey expertise":48,"financial crime prevention":29,"operational process management":48,"software implementation coordination":48},3,4,[50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74],"Business Analysis","Data Analysis","Product Ownership","Customer Journey Expertise","Agile Methodologies","Scrum","DevOps","Software Implementation Coordination","Operational Process Management","Incident Management","Problem Resolution","Statistics","Model-driven Solutions","Transaction Monitoring","Financial Crime Prevention","Responsible AI","AI Governance","Model Risk Management","Explainability","Regulatory Compliance","Platform Security","Information Security","Cyber Security","Data Security","Operational Resilience",1,{"id":77,"slug":78,"title":79,"raw_title":11,"is_featured":12,"company":80,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":83,"processed_country_iso_code_gmaps":85,"processed_home_office":21,"processed_salary_min":87,"processed_salary_max":88,"processed_salary_currency":89,"processed_salary_source":25,"processed_working_hours":90,"processed_employment_types":91,"processed_it_skills":92,"processed_it_skills_labels":93,"processed_job_expertise_skills":133,"processed_job_expertise_skills_labels":134,"max_cpc":75,"actual_cpc":75},81423,"senior-platform-engineer-ai-fabrics-bank-of-montreal","Senior Platform Engineer, AI & Fabrics",{"name":81,"slug":82,"logo_url":11},"Bank of Montreal","bank-of-montreal",[84],"Toronto",[86],"CA",70000,150000,"USD",[27],"permanent",{"go":48,"arm":48,"aws":48,"git":48,"opa":48,"rag":48,"java":47,"jira":48,"mtls":48,"oidc":48,"rego":48,"azure":48,"cedar":48,"ci\u002Fcd":48,"oauth":48,"spire":48,"github":48,"gitops":48,"mlflow":48,"python":48,"spiffe":48,"splunk":48,"bedrock":48,"bitbucket":48,"devsecops":48,"dynatrace":48,"langchain":48,"sagemaker":48,"terraform":48,"confluence":48,"embeddings":48,"guardrails":48,"kubernetes":48,"llamaindex":48,"typescript":47,"api gateway":48,"llm routing":48,"azure openai":48,"opentelemetry":48,"cloudformation":48},[31,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132],"Go","TypeScript","Java","AWS","Azure","Kubernetes","Terraform","CloudFormation","ARM","CI\u002FCD","GitOps","DevSecOps","Git","Bitbucket","GitHub","Jira","Confluence","Cedar","OPA","Rego","SPIFFE","SPIRE","mTLS","OAuth","OIDC","OpenTelemetry","Dynatrace","Splunk","API Gateway","LLM Routing","RAG","Embeddings","Guardrails","Bedrock","Azure OpenAI","SageMaker","MLflow","LangChain","LlamaIndex",{"iam":48,"audit":48,"on-call":48,"api design":48,"ai governance":48,"observability":48,"cloud security":48,"policy as code":48,"responsible ai":48,"incident response":48,"workload identity":48,"distributed systems":48,"platform engineering":48,"production operations":48,"genai platform patterns":48,"regulated industry experience":48},[135,136,137,138,139,140,141,66,65,142,143,144,145,146,147,148],"Platform Engineering","Distributed Systems","API Design","Production Operations","Incident Response","On-call","Regulated Industry Experience","Cloud Security","IAM","Policy as Code","Workload Identity","Observability","Audit","GenAI Platform Patterns",{"id":150,"slug":151,"title":152,"raw_title":11,"is_featured":12,"company":153,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":157,"processed_country_iso_code_gmaps":158,"processed_home_office":160,"processed_salary_min":161,"processed_salary_max":88,"processed_salary_currency":162,"processed_salary_source":25,"processed_working_hours":163,"processed_employment_types":91,"processed_it_skills":164,"processed_it_skills_labels":165,"processed_job_expertise_skills":169,"processed_job_expertise_skills_labels":170,"max_cpc":75,"actual_cpc":75},81869,"data-privacy-ai-trust-officer-allianz-insurance","Data Privacy & AI Trust Officer",{"name":154,"slug":155,"logo_url":156},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[],[159],"SG","onsite",90000,"SGD",[27],{"chatgpt":29,"onetrust":48,"microsoft copilot":29},[166,167,168],"OneTrust","ChatGPT","Microsoft CoPilot",{"ai governance":48,"responsible ai":48,"data governance":47,"data protection":48,"ai risk assessment":48,"ai\u002Fml fundamentals":47,"consent management":48,"privacy operations":48,"model risk management":47,"regulatory compliance":48,"training and awareness":47,"vendor risk management":47,"reporting and analytics":47,"data incident management":48,"data subject rights (dsr)":48,"information security frameworks":47,"records of processing activities (ropa)":48,"data protection impact assessments (dpias)":48},[171,172,66,173,174,65,69,175,176,177,178,179,180,181,182,67,183,184],"Data Protection","Privacy Operations","Data Incident Management","AI Risk Assessment","Data Protection Impact Assessments (DPIAs)","Records of Processing Activities (ROPA)","Consent Management","Data Subject Rights (DSR)","Vendor Risk Management","Training and Awareness","Reporting and Analytics","AI\u002FML Fundamentals","Information Security Frameworks","Data Governance",{"id":186,"slug":187,"title":188,"raw_title":11,"is_featured":12,"company":189,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":190,"processed_country_iso_code_gmaps":192,"processed_home_office":21,"processed_salary_min":87,"processed_salary_max":23,"processed_salary_currency":194,"processed_salary_source":25,"processed_working_hours":195,"processed_employment_types":91,"processed_it_skills":196,"processed_it_skills_labels":197,"processed_job_expertise_skills":204,"processed_job_expertise_skills_labels":205,"max_cpc":75,"actual_cpc":75},81678,"ai-transformation-lead-mfd3314-allianz-insurance","AI Transformation Lead (m\u002Ff\u002Fd)_3314",{"name":154,"slug":155,"logo_url":156},[191],"BARCELONA",[193],"ES","EUR",[27],{"aws":47,"gcp":47,"rag":48,"apis":47,"llms":48,"azure":47,"ci\u002Fcd":47,"genai":48,"mlops":48,"modelops":48,"machine learning":47,"vector databases":47},[198,42,124,199,200,98,97,201,202,203,103,40],"GenAI","MLOps","ModelOps","GCP","Vector Databases","APIs",{"nist":47,"eu ai act":47,"ai governance":48,"iso\u002Fiec 27001":47,"responsible ai":48,"sla management":48,"cost management":48,"privacy controls":48,"adoption programs":48,"security controls":48,"vendor management":48,"kpi\u002Fokr definition":48,"ai\u002Fml transformation":48,"regulatory compliance":48,"digital transformation":48,"training and enablement":48,"business case development":48},[206,207,66,65,208,209,69,210,211,212,213,214,215,216,217,218,219],"AI\u002FML Transformation","Digital Transformation","Security Controls","Privacy Controls","ISO\u002FIEC 27001","NIST","EU AI Act","Vendor Management","SLA Management","Cost Management","KPI\u002FOKR Definition","Business Case Development","Adoption Programs","Training and Enablement",{"id":221,"slug":222,"title":223,"raw_title":11,"is_featured":12,"company":224,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":227,"processed_country_iso_code_gmaps":229,"processed_home_office":160,"processed_salary_min":231,"processed_salary_max":232,"processed_salary_currency":89,"processed_salary_source":25,"processed_working_hours":233,"processed_employment_types":91,"processed_it_skills":234,"processed_it_skills_labels":235,"processed_job_expertise_skills":248,"processed_job_expertise_skills_labels":249,"max_cpc":75,"actual_cpc":75},85981,"principal-ai-platform-engineer-manufacturers-and-traders-trust-co","Principal AI Platform Engineer",{"name":225,"slug":226,"logo_url":11},"Manufacturers and Traders Trust Co","manufacturers-and-traders-trust-co",[228],"Clanton",[230],"US",139700,232900,[27],{"c#":48,"java":48,"python":48,"embeddings":48,"restful apis":48,"generative ai":48,"microservices":48,"observability":48,"devops tooling":48,"ci\u002Fcd pipelines":48,"microsoft azure":48,"semantic search":48,"vector databases":48,"automated testing":48,"azure ai services":48,"prompt engineering":48,"openai technologies":48,"large language models (llms)":48,"platform reliability engineering":48,"retrieval-augmented generation (rag)":48},[96,31,236,237,238,39,239,44,43,125,202,240,241,242,243,244,245,246,146,247],"C#","RESTful APIs","Microservices","Large Language Models (LLMs)","Semantic Search","Microsoft Azure","Azure AI Services","OpenAI Technologies","CI\u002FCD Pipelines","DevOps Tooling","Automated Testing","Platform Reliability Engineering",{"algorithms":48,"ai governance":48,"responsible ai":48,"data structures":48,"risk management":48,"security compliance":48,"software engineering":48,"model risk management":48,"ai platform engineering":48,"enterprise architecture":48,"distributed system design":48},[250,251,252,253,254,255,66,67,65,256,257],"Software Engineering","AI Platform Engineering","Enterprise Architecture","Data Structures","Algorithms","Distributed System Design","Security Compliance","Risk Management",{"id":259,"slug":260,"title":261,"raw_title":11,"is_featured":12,"company":262,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":265,"processed_country_iso_code_gmaps":266,"processed_home_office":267,"processed_salary_min":88,"processed_salary_max":268,"processed_salary_currency":89,"processed_salary_source":25,"processed_working_hours":269,"processed_employment_types":91,"processed_it_skills":270,"processed_it_skills_labels":271,"processed_job_expertise_skills":285,"processed_job_expertise_skills_labels":286,"max_cpc":75,"actual_cpc":75},87412,"vp-omnianalyst-product-manager-sedgwick-claims-management-services-inc","VP OmniAnalyst Product Manager",{"name":263,"slug":264,"logo_url":11},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[230],"remote",250000,[27],{"sql":47,"ai\u002Fml":48,"python":47,"data mesh":47,"data fabric":47,"data lineage":47,"scaled agile":47,"generative ai":48,"data platforms":48,"conversational ai":48,"semantic modeling":48,"data visualization":47,"agile methodologies":48,"metadata management":47,"product management tools":47,"enterprise analytics architectures":48},[272,39,273,274,275,276,277,278,279,280,54,281,282,283,284,31],"AI\u002FML","Conversational AI","Data Platforms","Data Mesh","Data Fabric","Semantic Modeling","Metadata Management","Data Lineage","Enterprise Analytics Architectures","Scaled Agile","Product Management Tools","Data Visualization","SQL",{"kpis":48,"okrs":48,"data privacy":48,"data sharing":48,"data exchange":48,"data security":48,"responsible ai":48,"agile practices":48,"data governance":48,"risk management":48,"budget management":47,"people leadership":48,"value realization":48,"product management":48,"ai product strategy":48,"roadmap development":48,"portfolio management":48,"compliance frameworks":48,"self-service analytics":48,"stakeholder engagement":48,"data product management":48,"enterprise data strategy":48,"business case development":48,"investment prioritization":48},[287,288,289,290,217,291,292,184,73,293,294,257,65,295,296,297,298,299,300,301,302,303,304,305],"Product Management","Data Product Management","Portfolio Management","Roadmap Development","OKRs","KPIs","Data Privacy","Compliance Frameworks","Data Sharing","Data Exchange","Self-Service Analytics","Enterprise Data Strategy","AI Product Strategy","Agile Practices","Value Realization","Stakeholder Engagement","People Leadership","Budget Management","Investment Prioritization",{"id":307,"slug":308,"title":309,"raw_title":11,"is_featured":12,"company":310,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":313,"processed_country_iso_code_gmaps":315,"processed_home_office":21,"processed_salary_min":316,"processed_salary_max":317,"processed_salary_currency":89,"processed_salary_source":25,"processed_working_hours":318,"processed_employment_types":91,"processed_it_skills":319,"processed_it_skills_labels":320,"processed_job_expertise_skills":335,"processed_job_expertise_skills_labels":336,"max_cpc":75,"actual_cpc":75},83762,"sr-staff-ai-engineer-ai-agent-platform-agent-evaluation-harness-government-employees-insurance-company","Sr. Staff AI Engineer, AI Agent Platform (Agent & Evaluation Harness)",{"name":311,"slug":312,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[314],"New York",[230],115000,260000,[27],{"mcp":48,"rag":48,"python":48,"deepeval":47,"langfuse":47,"langgraph":47,"langsmith":47,"api design":48,"braintrust":47,"google adk":47,"inspect ai":47,"azure openai":47,"arize phoenix":47,"amazon bedrock":47,"claude agent sdk":47,"openai agents sdk":47,"distributed systems":48,"microsoft agent framework":47,"llms (gpt, claude, llama, qwen)":48},[31,321,124,322,323,324,325,326,327,328,329,330,331,332,333,128,334,136,137],"LLMs (GPT, Claude, Llama, Qwen)","MCP","LangGraph","Microsoft Agent Framework","OpenAI Agents SDK","Claude Agent SDK","Google ADK","Langfuse","LangSmith","Braintrust","Arize Phoenix","Inspect AI","DeepEval","Amazon Bedrock",{"mentoring":48,"ai security":47,"tool calling":48,"ml engineering":48,"responsible ai":47,"agentic systems":48,"applied science":48,"prompt engineering":48,"agent architectures":48,"context engineering":48,"distributed systems":48,"experimental design":48,"software engineering":48,"statistical analysis":48,"technical leadership":48,"evaluation methodology":48,"genai application development":48},[250,337,338,339,340,44,341,342,343,344,345,346,136,347,348,349,65],"ML Engineering","Applied Science","GenAI Application Development","Agentic Systems","Context Engineering","Tool Calling","Agent Architectures","Evaluation Methodology","Experimental Design","Statistical Analysis","Technical Leadership","Mentoring","AI Security",{"id":351,"slug":352,"title":353,"raw_title":11,"is_featured":12,"company":354,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":357,"processed_country_iso_code_gmaps":359,"processed_home_office":21,"processed_salary_min":360,"processed_salary_max":361,"processed_salary_currency":162,"processed_salary_source":25,"processed_working_hours":362,"processed_employment_types":91,"processed_it_skills":363,"processed_it_skills_labels":364,"processed_job_expertise_skills":394,"processed_job_expertise_skills_labels":395,"max_cpc":75,"actual_cpc":75},95023,"enterprise-data-scientist-refinitiv-asia-pte-ltd","Enterprise Data Scientist",{"name":355,"slug":356,"logo_url":11},"Refinitiv Asia Pte. Ltd.","refinitiv-asia-pte-ltd",[358],"Singapore",[159],120000,180000,[27],{"r":47,"aws":48,"gcp":48,"jax":47,"ray":47,"sql":48,"dask":47,"nltk":47,"arize":47,"azure":48,"numpy":48,"ragas":47,"scipy":47,"spacy":47,"crewai":47,"pandas":48,"plotly":47,"python":48,"airflow":47,"autogen":47,"mongodb":47,"pytorch":48,"tableau":47,"dynamodb":47,"pinecone":47,"power bi":47,"weaviate":47,"cassandra":47,"langgraph":47,"langsmith":47,"tensorflow":48,"apache kafka":47,"apache spark":48,"hugging face":48,"scikit-learn":48,"elasticsearch":47},[31,365,284,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,323,387,388,329,389,390,391,392,393,97,201,98],"R","PyTorch","TensorFlow","Hugging Face","JAX","Pandas","NumPy","SciPy","scikit-learn","spaCy","NLTK","Apache Spark","MongoDB","Cassandra","DynamoDB","Elasticsearch","Pinecone","Weaviate","Apache Kafka","Airflow","Dask","Ray","AutoGen","CrewAI","RAGAS","Arize","Tableau","Power BI","Plotly",{"llmops":48,"data science":48,"ai governance":47,"generative ai":48,"responsible ai":47,"cloud deployment":48,"data engineering":48,"machine learning":48,"model fine-tuning":48,"agentic ai systems":48,"customer engagement":48,"technical leadership":48,"regulatory compliance":47,"natural language processing":48,"retrieval-augmented generation":48,"financial services domain knowledge":47},[396,40,397,39,398,399,400,401,402,403,65,66,404,69,405,347],"Data Science","Natural Language Processing","Agentic AI Systems","Retrieval-Augmented Generation","LLMOps","Model Fine-Tuning","Cloud Deployment","Data Engineering","Financial Services Domain Knowledge","Customer Engagement",{"id":407,"slug":408,"title":409,"raw_title":11,"is_featured":12,"company":410,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":413,"processed_country_iso_code_gmaps":415,"processed_home_office":21,"processed_salary_min":417,"processed_salary_max":161,"processed_salary_currency":194,"processed_salary_source":25,"processed_working_hours":418,"processed_employment_types":91,"processed_it_skills":419,"processed_it_skills_labels":420,"processed_job_expertise_skills":425,"processed_job_expertise_skills_labels":426,"max_cpc":75,"actual_cpc":75},93659,"ai-lead-ing-bank-nv-milan-branch","AI Lead",{"name":411,"slug":412,"logo_url":16},"ING Bank N.V., Milan branch","ing-bank-nv-milan-branch",[414],"Mailand",[416],"IT",67000,[27],{"automation":47,"generative ai":48,"advanced analytics":47,"artificial intelligence":48,"decision-support systems":47,"large language models (llms)":47},[421,39,239,422,423,424],"Artificial Intelligence","Automation","Decision-support systems","Advanced Analytics",{"eu ai act":47,"ai strategy":48,"ai governance":48,"responsible ai":48,"transformation":47,"value tracking":47,"digital innovation":47,"banking regulations":47,"portfolio management":47,"model risk management":47,"regulatory compliance":48},[66,67,69,427,289,428,429,65,212,430,431],"AI Strategy","Value Tracking","Banking Regulations","Digital Innovation","Transformation",{"id":433,"slug":434,"title":435,"raw_title":11,"is_featured":12,"company":436,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":437,"processed_country_iso_code_gmaps":439,"processed_home_office":21,"processed_salary_min":360,"processed_salary_max":268,"processed_salary_currency":89,"processed_salary_source":25,"processed_working_hours":440,"processed_employment_types":91,"processed_it_skills":441,"processed_it_skills_labels":442,"processed_job_expertise_skills":457,"processed_job_expertise_skills_labels":458,"max_cpc":75,"actual_cpc":75},81099,"principal-cloud-engineer-ai-bank-of-montreal","Principal Cloud Engineer AI",{"name":81,"slug":82,"logo_url":11},[438],"Chicago",[230],[27],{"go":47,"aws":48,"cuda":29,"vllm":47,"azure":48,"bicep":47,"ci\u002Fcd":48,"faiss":47,"kafka":47,"docker":48,"gitops":47,"kserve":47,"milvus":47,"mlflow":47,"python":48,"triton":47,"grafana":47,"azure ml":47,"pgvector":47,"pinecone":47,"terraform":48,"kubernetes":48,"prometheus":47,"typescript":47,"hugging face":47,"tensorrt-llm":29,"opentelemetry":47},[31,94,95,99,100,443,98,97,103,104,444,445,446,447,119,448,449,450,451,452,453,454,381,455,456,130,368],"Bicep","Docker","Kafka","Prometheus","Grafana","CUDA","TensorRT-LLM","vLLM","Triton","KServe","FAISS","Milvus","pgvector","Azure ML",{"mlops":48,"finops":47,"llmops":48,"security":48,"networking":48,"observability":48,"responsible ai":47,"data governance":47,"ai\u002Fml infrastructure":48,"cloud infrastructure":48,"technical leadership":48,"solution architecture":48,"infrastructure as code":48,"container orchestration":48,"site reliability engineering":48},[459,460,199,400,461,462,463,464,146,465,466,467,347,65,184],"Cloud Infrastructure","AI\u002FML Infrastructure","Infrastructure as Code","Container Orchestration","Networking","Security","FinOps","Site Reliability Engineering","Solution Architecture",{"id":469,"slug":470,"title":471,"raw_title":11,"is_featured":12,"company":472,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":473,"processed_country_iso_code_gmaps":474,"processed_home_office":160,"processed_salary_min":87,"processed_salary_max":88,"processed_salary_currency":475,"processed_salary_source":25,"processed_working_hours":476,"processed_employment_types":91,"processed_it_skills":477,"processed_it_skills_labels":478,"processed_job_expertise_skills":483,"processed_job_expertise_skills_labels":484,"max_cpc":75,"actual_cpc":75},81375,"manager-lending-strategy-bank-of-montreal","Manager - Lending Strategy",{"name":81,"slug":82,"logo_url":11},[84],[86],"CAD",[27],{"sas":48,"sql":48,"python":48,"machine learning libraries":48,"cloud-based analytics tools":47,"data visualization platforms":47},[31,284,479,480,481,482],"SAS","Machine Learning Libraries","Cloud-based Analytics Tools","Data Visualization Platforms",{"privacy":47,"big data":47,"data mining":47,"forecasting":48,"text mining":47,"data science":48,"segmentation":48,"credit policy":47,"generative ai":47,"responsible ai":47,"decision science":48,"machine learning":48,"model governance":47,"model monitoring":48,"advanced analytics":48,"feature engineering":48,"predictive modeling":48,"portfolio management":48,"credit risk analytics":48,"strategy optimization":48,"experimentation design":48,"risk-return trade-offs":48,"optimization techniques":47,"performance measurement":48,"regulatory expectations":47,"credit lifecycle economics":48,"unsecured lending strategy":48,"natural language processing":47,"customer treatment strategies":48},[396,40,424,485,486,487,488,489,490,491,492,493,289,494,495,496,497,65,498,499,500,501,502,39,503,504,505,506,397],"Credit Risk Analytics","Unsecured Lending Strategy","Predictive Modeling","Feature Engineering","Experimentation Design","Model Monitoring","Segmentation","Forecasting","Performance Measurement","Credit Lifecycle Economics","Risk-Return Trade-offs","Customer Treatment Strategies","Model Governance","Privacy","Credit Policy","Regulatory Expectations","Decision Science","Strategy Optimization","Big Data","Optimization Techniques","Data Mining","Text Mining",{"id":508,"slug":509,"title":510,"raw_title":11,"is_featured":12,"company":511,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":512,"processed_country_iso_code_gmaps":513,"processed_home_office":21,"processed_salary_min":514,"processed_salary_max":515,"processed_salary_currency":89,"processed_salary_source":25,"processed_working_hours":516,"processed_employment_types":91,"processed_it_skills":517,"processed_it_skills_labels":518,"processed_job_expertise_skills":519,"processed_job_expertise_skills_labels":520,"max_cpc":75,"actual_cpc":75},81393,"principal-ai-cloud-engineer-bank-of-montreal","Principal AI Cloud Engineer",{"name":81,"slug":82,"logo_url":11},[84],[86],105000,215000,[27],{"go":47,"aws":48,"sql":47,"cuda":29,"vllm":47,"azure":48,"bicep":47,"ci\u002Fcd":48,"faiss":47,"kafka":47,"docker":48,"gitops":47,"kserve":47,"milvus":47,"mlflow":47,"python":48,"triton":47,"grafana":47,"azure ml":47,"pgvector":47,"pinecone":47,"terraform":48,"kubernetes":48,"prometheus":47,"typescript":47,"hugging face":47,"tensorrt-llm":29,"opentelemetry":47},[31,94,95,99,100,443,98,97,103,104,444,445,446,447,119,448,449,450,451,452,130,456,368,453,454,381,455,284],{"mlops":48,"finops":47,"llmops":48,"security":48,"networking":48,"observability":48,"responsible ai":47,"sre principles":47,"data governance":47,"ai\u002Fml infrastructure":48,"cloud infrastructure":48,"technical leadership":48,"solution architecture":48},[459,460,199,400,464,463,146,465,521,467,347,65,184],"SRE Principles",{"id":523,"slug":524,"title":525,"raw_title":11,"is_featured":12,"company":526,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":529,"processed_country_iso_code_gmaps":531,"processed_home_office":160,"processed_salary_min":22,"processed_salary_max":161,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":532,"processed_employment_types":91,"processed_it_skills":533,"processed_it_skills_labels":534,"processed_job_expertise_skills":542,"processed_job_expertise_skills_labels":543,"max_cpc":75,"actual_cpc":75},94999,"senior-technical-specialist-ai-and-enterprise-applications-refinitiv-asia-pte-ltd-philippine-branch","Senior Technical Specialist - AI and Enterprise Applications",{"name":527,"slug":528,"logo_url":11},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[530],"Taguig",[20],[27],{"sso":47,"apis":47,"oidc":47,"oauth":47,"ai agents":47,"servicenow":47,"prompt engineering":47,"retrieval mechanisms":47,"tool-calling frameworks":47,"salesforce service cloud":47,"large language models (llms)":47,"model context protocol (mcp)":47},[535,35,536,117,118,203,239,537,538,539,540,541],"Salesforce Service Cloud","SSO","AI agents","Prompt engineering","Tool-calling frameworks","Model Context Protocol (MCP)","Retrieval mechanisms",{"privacy":47,"security":47,"governance":47,"log analysis":47,"responsible ai":47,"troubleshooting":48,"technical support":48,"system diagnostics":47,"telemetry analysis":47,"incident management":48,"root cause analysis":48,"ai product knowledge":48,"knowledge management":47,"application integrations":47,"error code interpretation":47,"enterprise systems integration":48,"data connectivity and retrieval":47,"service level agreements (slas)":47,"user interface and user experience":47,"authorization and access permissions":47,"authentication and identity management":47},[544,59,545,546,547,548,549,550,551,552,553,554,555,65,498,464,556,557,558,559,560],"Technical Support","Root Cause Analysis","Troubleshooting","Enterprise Systems Integration","AI Product Knowledge","Knowledge Management","Service Level Agreements (SLAs)","Authentication and Identity Management","Authorization and Access Permissions","Data Connectivity and Retrieval","Application Integrations","User Interface and User Experience","Governance","Log Analysis","Telemetry Analysis","Error Code Interpretation","System Diagnostics",{"id":562,"slug":563,"title":564,"raw_title":11,"is_featured":12,"company":565,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":568,"processed_country_iso_code_gmaps":570,"processed_home_office":160,"processed_salary_min":11,"processed_salary_max":11,"processed_salary_currency":572,"processed_salary_source":25,"processed_working_hours":573,"processed_employment_types":91,"processed_it_skills":574,"processed_it_skills_labels":575,"processed_job_expertise_skills":594,"processed_job_expertise_skills_labels":595,"max_cpc":75,"actual_cpc":75},95672,"assistant-vice-president-mufg-global-service-private-limited-5","Assistant Vice President",{"name":566,"slug":567,"logo_url":11},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[569],"Bangalore",[571],"IN","INR",[27],{"aws":48,"git":48,"jsx":48,"npm":48,"css3":48,"j2ee":48,"java":48,"ci\u002Fcd":48,"html5":48,"redux":48,"node.js":48,"reactjs":48,"saml 2.0":29,"devsecops":48,"javascript":48,"kubernetes":48,"monitoring":48,"restful apis":48,"observability":48,"github copilot":48,"disaster recovery":48,"ai coding assistants":48,"relational databases":48,"infrastructure as code":48,"site reliability engineering":29,"enterprise integration patterns":48,"static application-security testing":29,"dynamic application-security testing":29},[96,576,577,578,579,580,581,582,583,584,106,237,97,99,461,103,105,585,586,587,588,589,146,590,591,466,592,593],"J2EE","ReactJS","HTML5","CSS3","JSX","JavaScript","Node.js","npm","Redux","GitHub Copilot","AI coding assistants","Relational databases","Enterprise integration patterns","Monitoring","Disaster recovery","SAML 2.0","Static application-security testing","Dynamic application-security testing",{"sdlc":48,"algorithms":48,"resilience":48,"agile\u002Fscrum":48,"ai governance":48,"cloud adoption":48,"responsible ai":48,"design patterns":48,"solution design":48,"containerization":48,"capacity planning":48,"database concepts":48,"financial services":29,"root-cause analysis":48,"application security":48,"software engineering":48,"technical leadership":48,"environment automation":48,"full stack development":48,"operational excellence":48,"platform modernization":48,"design and code reviews":48,"performance improvements":48,"stakeholder collaboration":48,"secure engineering practices":48,"transaction-processing systems":29,"change and production readiness":48,"enterprise application integration":48,"infrastructure and platform changes":48,"object-oriented analysis and design":48},[596,347,250,597,598,599,600,601,602,603,604,605,606,66,65,607,608,609,254,610,611,612,613,614,615,616,617,618,619,620],"Full Stack Development","Enterprise Application Integration","Solution Design","Design and Code Reviews","Infrastructure and Platform Changes","Change and Production Readiness","Platform Modernization","Stakeholder Collaboration","Operational Excellence","Root-cause Analysis","Agile\u002FScrum","SDLC","Object-oriented Analysis and Design","Design Patterns","Database Concepts","Application Security","Secure Engineering Practices","Cloud Adoption","Containerization","Environment Automation","Capacity Planning","Resilience","Performance Improvements","Financial Services","Transaction-processing Systems",{"id":622,"slug":623,"title":624,"raw_title":11,"is_featured":12,"company":625,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":628,"processed_country_iso_code_gmaps":629,"processed_home_office":160,"processed_salary_min":630,"processed_salary_max":631,"processed_salary_currency":162,"processed_salary_source":25,"processed_working_hours":632,"processed_employment_types":91,"processed_it_skills":633,"processed_it_skills_labels":634,"processed_job_expertise_skills":647,"processed_job_expertise_skills_labels":648,"max_cpc":75,"actual_cpc":75},76511,"mgravp-ai-and-data-analyst-ocbc-bank","MGR\u002FAVP, AI and Data Analyst",{"name":626,"slug":627,"logo_url":11},"OCBC Bank","ocbc-bank",[],[159],96000,144000,[27],{"sql":47,"jira":29,"excel":47,"python":47,"jenkins":29,"power bi":47,"bitbucket":29,"confluent":29,"aws athena":29,"aws bedrock":29,"aws redshift":29,"aws sagemaker":29,"aws quicksight":29,"microsoft copilot":29,"agentic ai platforms":29,"microsoft power automate":29,"large language models (llms)":47,"retrieval-augmented generation (rag)":47},[31,284,635,392,636,637,638,639,640,641,642,643,107,644,645,239,43,646],"Excel","AWS SageMaker","AWS Bedrock","AWS QuickSight","AWS Athena","AWS Redshift","Microsoft Copilot","Microsoft Power Automate","Confluent","Jenkins","JIRA","Agentic AI Platforms",{"automation":47,"generative ai":47,"data analytics":48,"responsible ai":47,"data governance":47,"model selection":47,"machine learning":47,"project management":47,"benefit realisation":47,"business intelligence":47,"financial risk management":29,"ai application development":47,"non-financial risk management":29,"cost estimation for genai workloads":47},[649,650,651,40,39,422,184,65,652,653,654,655,656,657],"AI Application Development","Data Analytics","Business Intelligence","Financial Risk Management","Non-Financial Risk Management","Model Selection","Cost Estimation for GenAI Workloads","Benefit Realisation","Project Management",{"id":659,"slug":660,"title":661,"raw_title":11,"is_featured":12,"company":662,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":665,"processed_country_iso_code_gmaps":667,"processed_home_office":21,"processed_salary_min":669,"processed_salary_max":670,"processed_salary_currency":671,"processed_salary_source":25,"processed_working_hours":672,"processed_employment_types":91,"processed_it_skills":673,"processed_it_skills_labels":674,"processed_job_expertise_skills":676,"processed_job_expertise_skills_labels":677,"max_cpc":75,"actual_cpc":75},73628,"senior-agentic-ai-engineer-ing-hubs-bv-turkiye","Senior Agentic AI Engineer",{"name":663,"slug":664,"logo_url":11},"ING Hubs B.V. Turkiye","ing-hubs-bv-turkiye",[666],"Sarıyer",[668],"TR",1200000,1800000,"TRY",[27],{"aws":47,"gcp":47,"azure":47,"ci\u002Fcd":48,"crewai":48,"python":48,"autogen":48,"langchain":48,"langgraph":48,"kubernetes":48,"containerization":48,"infrastructure as code (iac)":48},[31,97,98,201,99,614,675,103,323,131,388,387],"Infrastructure as Code (IaC)",{"rag":48,"privacy":48,"security":48,"agentic ai":48,"compliance":48,"ai evaluation":47,"ai governance":48,"responsible ai":48,"ai architecture":48,"ai optimization":47,"ai observability":47,"devops practices":48,"llm applications":48,"talent development":47,"technology roadmap":48,"distributed systems":48,"multi-agent systems":48,"platform automation":48,"technical leadership":48,"innovation management":47,"scalable architectures":48,"cloud platform strategy":48,"reliability engineering":48,"event-driven architectures":48,"software design principles":48,"infrastructure modernization":48},[678,41,136,679,680,681,682,683,124,684,685,686,687,65,66,464,498,688,689,690,691,692,347,693,694,695],"AI Architecture","Scalable Architectures","Software Design Principles","Event-Driven Architectures","Reliability Engineering","LLM Applications","Multi-Agent Systems","AI Evaluation","AI Observability","AI Optimization","Compliance","Cloud Platform Strategy","Platform Automation","Infrastructure Modernization","DevOps Practices","Technology Roadmap","Innovation Management","Talent Development",{"id":697,"slug":698,"title":699,"raw_title":11,"is_featured":12,"company":700,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":701,"processed_country_iso_code_gmaps":702,"processed_home_office":160,"processed_salary_min":88,"processed_salary_max":268,"processed_salary_currency":89,"processed_salary_source":25,"processed_working_hours":703,"processed_employment_types":91,"processed_it_skills":704,"processed_it_skills_labels":705,"processed_job_expertise_skills":714,"processed_job_expertise_skills_labels":715,"max_cpc":75,"actual_cpc":75},95688,"dataai-director-mufg-global-service-private-limited","Data\u002FAI Director",{"name":566,"slug":567,"logo_url":11},[569],[571],[27],{"sql":48,"ai\u002Fml":48,"python":48,"etl\u002Felt":48,"data lakes":48,"guardrails":48,"data lineage":48,"generative ai":48,"observability":48,"llm evaluation":48,"api development":48,"data engineering":48,"data warehousing":48,"knowledge graphs":48,"machine learning":48,"data virtualization":48,"metadata management":48,"software engineering":48,"agentic architectures":48,"model context protocol (mcp)":48,"retrieval-augmented generation (rag)":48},[31,284,39,43,706,707,540,708,146,126,403,709,710,711,712,278,279,713,250,40,272],"Knowledge Graphs","Agentic Architectures","LLM Evaluation","ETL\u002FELT","Data Warehousing","Data Lakes","Data Virtualization","API Development",{"code review":48,"ai governance":48,"responsible ai":48,"data governance":48,"data management":48,"risk management":48,"model governance":48,"technical hiring":48,"change management":48,"program management":48,"architecture review":48,"portfolio management":48,"production operations":48,"ai product development":48,"digital transformation":48,"engineering leadership":48,"enterprise ai strategy":48,"data platform architecture":48},[716,717,718,719,65,184,257,720,289,721,722,723,724,138,66,497,725,207],"AI Product Development","Data Platform Architecture","Engineering Leadership","Enterprise AI Strategy","Program Management","Change Management","Technical Hiring","Architecture Review","Code Review","Data Management",{"id":727,"slug":728,"title":729,"raw_title":11,"is_featured":12,"company":730,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":733,"processed_country_iso_code_gmaps":735,"processed_home_office":21,"processed_salary_min":737,"processed_salary_max":738,"processed_salary_currency":739,"processed_salary_source":25,"processed_working_hours":740,"processed_employment_types":91,"processed_it_skills":741,"processed_it_skills_labels":742,"processed_job_expertise_skills":749,"processed_job_expertise_skills_labels":750,"max_cpc":75,"actual_cpc":75},69609,"ai-engineer-openpay-sapi-de-cv","AI Engineer",{"name":731,"slug":732,"logo_url":11},"OPENPAY, S.A.P.I. DE C.V.","openpay-sapi-de-cv",[734],"Ciudad de México",[736],"MX",600000,900000,"MXN",[27],{"aws":48,"git":48,"rag":48,"llms":48,"ci\u002Fcd":48,"mlops":48,"docker":48,"finops":48,"llmops":48,"python":48,"fastapi":48,"agentops":48,"graphrag":48,"langgraph":48,"rest apis":48,"databricks":48,"delta lake":48,"machine learning":48},[31,743,744,444,106,97,745,746,40,42,124,747,323,103,199,400,748,465],"FastAPI","REST APIs","Databricks","Delta Lake","GraphRAG","AgentOps",{"ai governance":48,"ai engineering":48,"data platforms":48,"responsible ai":48,"cloud platforms":48,"cost optimization":48,"software engineering":48},[751,250,752,274,66,65,753],"AI Engineering","Cloud Platforms","Cost Optimization",{"id":755,"slug":756,"title":757,"raw_title":11,"is_featured":12,"company":758,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":761,"processed_country_iso_code_gmaps":762,"processed_home_office":160,"processed_salary_min":360,"processed_salary_max":361,"processed_salary_currency":162,"processed_salary_source":25,"processed_working_hours":763,"processed_employment_types":91,"processed_it_skills":764,"processed_it_skills_labels":765,"processed_job_expertise_skills":768,"processed_job_expertise_skills_labels":769,"max_cpc":75,"actual_cpc":75},67976,"first-vp-genai-engineerscientist-lead-innovation-group-1011-united-overseas-bank-ltd","First VP, GenAI Engineer\u002FScientist Lead, Innovation Group",{"name":759,"slug":760,"logo_url":11},"United Overseas Bank Ltd","united-overseas-bank-ltd",[358],[159],[27],{"nlp":48,"python":48,"data science":48,"llm & agentic ai systems":48},[31,766,767,396],"LLM & Agentic AI systems","NLP",{"rag":48,"fine-tuning":48,"responsible ai":48,"experimental design":48,"process improvement":48,"prompt optimization":48,"statistical thinking":48,"evaluation methodology":48,"performance monitoring":48,"service lifecycle management":48},[770,771,772,345,773,344,774,124,775,65],"Performance Monitoring","Process Improvement","Service Lifecycle Management","Statistical Thinking","Fine-tuning","Prompt Optimization",{"id":777,"slug":778,"title":779,"raw_title":11,"is_featured":12,"company":780,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":781,"processed_country_iso_code_gmaps":783,"processed_home_office":160,"processed_salary_min":784,"processed_salary_max":785,"processed_salary_currency":89,"processed_salary_source":25,"processed_working_hours":786,"processed_employment_types":91,"processed_it_skills":787,"processed_it_skills_labels":788,"processed_job_expertise_skills":790,"processed_job_expertise_skills_labels":791,"max_cpc":75,"actual_cpc":795},60725,"lead-ai-platform-engineer-001-manufacturers-and-traders-trust-co","Lead AI Platform Engineer",{"name":225,"slug":226,"logo_url":11},[782],"Buffalo",[230],116400,194000,[27],{"c#":48,"git":48,"rag":47,"java":48,"ci\u002Fcd":47,"devops":47,"python":48,"restful apis":48,"microsoft azure":47,"machine learning":47,"vector databases":47,"large language models":47},[96,31,236,237,106,40,789,124,202,241,103,56],"Large Language Models",{"sdlc":48,"compliance":48,"data privacy":47,"responsible ai":47,"system analysis":48,"model governance":47,"security standards":48,"software engineering":48,"application development":48},[250,792,793,607,794,688,65,293,497],"System Analysis","Application Development","Security Standards",0.5,{"industry":797,"employment_type":834,"expertise_skills":841,"it_skills":906,"salary_currency":968,"processed_working_hours":985},[798,801,805,809,813,817,820,823,825,828,831],{"key":799,"label":619,"count":800},"financial services",41,{"key":802,"label":803,"count":804},"insurance","Insurance",25,{"key":806,"label":807,"count":808},"banking","Banking",15,{"key":810,"label":811,"count":812},"financial markets infrastructure","Financial Markets Infrastructure",10,{"key":814,"label":815,"count":816},"data provider","Data Provider",7,{"key":818,"label":819,"count":47},"data","Data",{"key":821,"label":822,"count":47},"asset management","Asset Management",{"key":824,"label":257,"count":29},"risk management",{"key":826,"label":827,"count":75},"financial services regulation","Financial Services Regulation",{"key":829,"label":830,"count":75},"automotive finance","Automotive Finance",{"key":832,"label":833,"count":75},"mobility","Mobility",[835,838],{"key":91,"label":836,"count":837},"PERMANENT",78,{"key":839,"label":840,"count":29},"contract","CONTRACT",[842,845,849,852,855,858,860,863,867,870,872,875,877,881,883,886,888,890,892,896,898,900,902,904],{"key":843,"label":844,"slug":843,"count":5},"responsible-ai","Responsible Ai",{"key":846,"label":847,"slug":846,"count":848},"ai-governance","Ai Governance",29,{"key":850,"label":184,"slug":850,"count":851},"data-governance",19,{"key":853,"label":854,"slug":853,"count":851},"generative-ai","Generative Ai",{"key":856,"label":257,"slug":856,"count":857},"risk-management",18,{"key":859,"label":40,"slug":859,"count":857},"machine-learning",{"key":861,"label":69,"slug":861,"count":862},"regulatory-compliance",17,{"key":864,"label":865,"slug":864,"count":866},"project-management","Project management",12,{"key":868,"label":67,"slug":868,"count":869},"model-risk-management",11,{"key":871,"label":403,"slug":871,"count":869},"data-engineering",{"key":873,"label":874,"slug":873,"count":812},"model-evaluation","Model Evaluation",{"key":876,"label":44,"slug":876,"count":812},"prompt-engineering",{"key":878,"label":879,"slug":878,"count":880},"mlops","Mlops",9,{"key":882,"label":396,"slug":882,"count":880},"data-science",{"key":884,"label":885,"slug":884,"count":880},"deep-learning","Deep Learning",{"key":887,"label":497,"slug":887,"count":880},"model-governance",{"key":889,"label":464,"slug":889,"count":880},"security",{"key":891,"label":252,"slug":891,"count":880},"enterprise-architecture",{"key":893,"label":894,"slug":893,"count":895},"rag","Rag",8,{"key":897,"label":688,"slug":897,"count":895},"compliance",{"key":899,"label":54,"slug":899,"count":895},"agile-methodologies",{"key":901,"label":347,"slug":901,"count":816},"technical-leadership",{"key":903,"label":61,"slug":903,"count":816},"statistics",{"key":905,"label":498,"slug":905,"count":816},"privacy",[907,910,913,917,921,922,925,926,928,930,932,935,937,938,940,943,945,948,950,953,956,959,962,965],{"key":908,"label":31,"slug":908,"count":909},"python",54,{"key":911,"label":284,"slug":911,"count":912},"sql",33,{"key":914,"label":915,"slug":914,"count":916},"aws","Aws",24,{"key":918,"label":919,"slug":918,"count":920},"cicd","Ci\u002FCd",23,{"key":853,"label":854,"slug":853,"count":857},{"key":923,"label":924,"slug":923,"count":862},"ms-azure","MS Azure",{"key":859,"label":40,"slug":859,"count":808},{"key":878,"label":879,"slug":878,"count":927},13,{"key":929,"label":99,"slug":929,"count":866},"kubernetes",{"key":931,"label":106,"slug":931,"count":866},"git",{"key":933,"label":934,"slug":933,"count":866},"langchain","Langchain",{"key":936,"label":202,"slug":936,"count":869},"vector-databases",{"key":893,"label":894,"slug":893,"count":812},{"key":939,"label":444,"slug":939,"count":812},"docker",{"key":941,"label":942,"slug":941,"count":880},"pytorch","Pytorch",{"key":944,"label":96,"slug":944,"count":880},"java",{"key":946,"label":947,"slug":946,"count":880},"tensorflow","Tensorflow",{"key":949,"label":641,"slug":949,"count":895},"microsoft-copilot",{"key":951,"label":952,"slug":951,"count":895},"servicenow","Servicenow",{"key":954,"label":955,"slug":954,"count":895},"apis","Apis",{"key":957,"label":958,"slug":957,"count":895},"langgraph","Langgraph",{"key":960,"label":961,"slug":960,"count":895},"gcp","Gcp",{"key":963,"label":964,"slug":963,"count":895},"large-language-models-llms","Large Language Models (Llms)",{"key":966,"label":967,"slug":966,"count":816},"github-copilot","Github Copilot",[969,971,972,973,974,977,978,979,980,982,984],{"key":89,"label":89,"count":970},28,{"key":194,"label":194,"count":808},{"key":162,"label":162,"count":869},{"key":475,"label":475,"count":895},{"key":975,"label":975,"count":976},"GBP",6,{"key":572,"label":572,"count":976},{"key":24,"label":24,"count":48},{"key":739,"label":739,"count":75},{"key":981,"label":981,"count":75},"BRL",{"key":983,"label":983,"count":75},"PEN",{"key":671,"label":671,"count":75},[986,987],{"key":27,"label":27,"count":5},{"key":988,"label":988,"count":75},"PART_TIME",{"total":990,"jobs":991},0,[]]