[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-mlops-global":3,"job-search-\u002Fde\u002Fjobs-by-skill\u002Fmlops?page=4":4,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Fmlops?page=4":608,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Fmlops?page=4":818},{},{"total":5,"jobs":6},78,[7,77,114,162,203,237,266,287,307,346,385,401,421,438,465,506,543,563],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":31,"processed_job_expertise_skills":65,"processed_job_expertise_skills_labels":66,"max_cpc":76,"actual_cpc":76},49688,"system-administrator-le001-prometeia-spa","System Administrator",null,false,{"name":14,"slug":15,"logo_url":11},"Prometeia SpA","prometeia-spa",[17],"Bologna",[19],"IT","hybrid",50000,70000,"EUR","estimated",[26],"FULL_TIME","permanent",{"edr":29,"mfa":29,"bash":29,"sase":29,"siem":30,"aiops":30,"ci\u002Fcd":29,"mlops":30,"docker":29,"gitops":29,"intune":30,"python":29,"ansible":29,"entra id":29,"terraform":29,"kubernetes":29,"networking":29,"powershell":29,"zero trust":30,"replication":29,"active directory":29,"backup solutions":29,"monitoring tools":29,"system hardening":29,"disaster recovery":29,"firewall management":29,"gpu-based workloads":29,"observability tools":29,"ai\u002Fml infrastructure":29,"linux administration":29,"macos administration":30,"windows administration":29,"vulnerability management":29},4,3,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64],"Windows Administration","Linux Administration","PowerShell","Bash","Python","Ansible","Terraform","Docker","Kubernetes","CI\u002FCD","GitOps","Networking","Firewall Management","SASE","Active Directory","Entra ID","MFA","System Hardening","Vulnerability Management","EDR","SIEM","Zero Trust","Backup Solutions","Replication","Disaster Recovery","Monitoring Tools","Observability Tools","AI\u002FML Infrastructure","GPU-based workloads","MLOps","AIOps","Intune","macOS Administration",{"security":29,"automation":29,"networking":29,"virtualization":29,"data protection":29,"ai workload support":29,"business continuity":29,"container platforms":29,"infrastructure as code":29,"infrastructure management":29},[67,68,69,43,70,71,72,73,74,75],"Infrastructure Management","Virtualization","Container Platforms","Security","Data Protection","Business Continuity","Automation","Infrastructure as Code","AI Workload Support",1,{"id":78,"slug":79,"title":80,"raw_title":11,"is_featured":12,"company":81,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":84,"processed_country_iso_code_gmaps":86,"processed_home_office":20,"processed_salary_min":88,"processed_salary_max":89,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":90,"processed_employment_types":27,"processed_it_skills":91,"processed_it_skills_labels":92,"processed_job_expertise_skills":101,"processed_job_expertise_skills_labels":102,"max_cpc":76,"actual_cpc":76},33108,"senior-ai-delivery-manager-aareal-bank-group","Senior AI Delivery Manager",{"name":82,"slug":83,"logo_url":11},"Aareal Bank Group","aareal-bank-group",[85],"Wiesbaden",[87],"DE",90000,130000,[26],{"rag":29,"mlops":29,"llmops":29,"agentic ai":29,"it security":29,"generative ai":29,"data governance":29,"machine learning":29,"cloud architectures":29},[93,94,95,96,61,97,98,99,100],"Machine Learning","Generative AI","Agentic AI","RAG","LLMOps","Cloud Architectures","Data Governance","IT Security",{"gdpr":29,"marisk":29,"eu ai act":29,"ai transformation":29,"budget management":29,"project management":29,"agile methodologies":29,"end-to-end delivery":29,"portfolio management":29,"regulatory compliance":29,"use case prioritization":29},[103,104,105,106,107,108,109,110,111,112,113],"Project Management","Portfolio Management","Budget Management","AI Transformation","Regulatory Compliance","EU AI Act","GDPR","MaRisk","Agile Methodologies","Use Case Prioritization","End-to-End Delivery",{"id":115,"slug":116,"title":117,"raw_title":11,"is_featured":12,"company":118,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":121,"processed_country_iso_code_gmaps":123,"processed_home_office":20,"processed_salary_min":125,"processed_salary_max":126,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":128,"processed_employment_types":27,"processed_it_skills":129,"processed_it_skills_labels":130,"processed_job_expertise_skills":142,"processed_job_expertise_skills_labels":143,"max_cpc":76,"actual_cpc":76},49162,"enterprise-data-and-ai-architect-vice-president-mufg-bank-ltd","Enterprise Data and AI Architect, Vice President",{"name":119,"slug":120,"logo_url":11},"MUFG Bank, Ltd.","mufg-bank-ltd",[122],"Jersey City",[124],"US",172000,191000,"USD",[26],{"aws":29,"elt":29,"etl":29,"gcp":29,"apis":29,"azure":29,"ci\u002Fcd":30,"mlops":30,"snowflake":30,"databricks":30,"infrastructure-as-code":30,"change data capture (cdc)":29,"event-driven architectures":29},[131,132,133,134,135,136,137,138,139,140,141,41,61],"AWS","Azure","GCP","ETL","ELT","Change Data Capture (CDC)","APIs","Event-driven architectures","Snowflake","Databricks","Infrastructure-as-Code",{"data mesh":30,"ontologies":29,"data lineage":29,"data quality":29,"explainable ai":29,"ai architecture":29,"data governance":29,"semantic search":29,"data integration":29,"knowledge graphs":29,"data architecture":29,"semantic modeling":29,"metadata management":29,"federated data models":30,"platform architecture":29,"regulated environments":30,"enterprise architecture":29,"architecture review boards":29,"retrieval-augmented generation (rag)":29},[144,145,146,147,99,148,149,150,151,152,153,154,155,156,157,158,159,160,161],"Data Architecture","Platform Architecture","AI Architecture","Data Integration","Metadata Management","Data Lineage","Data Quality","Semantic Modeling","Ontologies","Knowledge Graphs","Retrieval-Augmented Generation (RAG)","Semantic Search","Explainable AI","Data Mesh","Federated Data Models","Architecture Review Boards","Enterprise Architecture","Regulated Environments",{"id":163,"slug":164,"title":165,"raw_title":11,"is_featured":12,"company":166,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":169,"processed_country_iso_code_gmaps":171,"processed_home_office":173,"processed_salary_min":174,"processed_salary_max":175,"processed_salary_currency":176,"processed_salary_source":24,"processed_working_hours":177,"processed_employment_types":27,"processed_it_skills":178,"processed_it_skills_labels":179,"processed_job_expertise_skills":188,"processed_job_expertise_skills_labels":190,"max_cpc":76,"actual_cpc":76},59991,"junior-data-scientist-pol007-refinitiv-poland-spoka-z-oo","Junior Data Scientist",{"name":167,"slug":168,"logo_url":11},"Refinitiv Poland Spółka z o.o.","refinitiv-poland-spoka-z-oo",[170],"Gdynia",[172],"PL","onsite",114700,181500,"PLN",[26],{"r":30,"aws":30,"git":30,"nlp":29,"rag":29,"sql":30,"llms":29,"azure":30,"ci\u002Fcd":30,"mlops":30,"numpy":29,"pandas":29,"python":29,"scikit-learn":29},[36,180,181,182,131,132,183,184,185,186,187,96,61,41],"SQL","R","Git","Pandas","NumPy","Scikit-learn","NLP","LLMs",{"web scraping":30,"data cleaning":29,"deep learning":29,"data analytics":29,"data management":30,"machine learning":29,"entity extraction":30,"data transformation":29,"feature engineering":29,"exploratory analysis":29,"statistical modelling":29,"synthetic data generation":30,"financial services knowledge":189},2,[191,192,193,93,194,195,196,197,198,199,200,201,202],"Data Analytics","Feature Engineering","Statistical Modelling","Deep Learning","Data Cleaning","Data Transformation","Exploratory Analysis","Web Scraping","Entity Extraction","Synthetic Data Generation","Financial Services Knowledge","Data Management",{"id":204,"slug":205,"title":206,"raw_title":11,"is_featured":12,"company":207,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":210,"processed_country_iso_code_gmaps":212,"processed_home_office":173,"processed_salary_min":88,"processed_salary_max":89,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":214,"processed_employment_types":27,"processed_it_skills":215,"processed_it_skills_labels":216,"processed_job_expertise_skills":219,"processed_job_expertise_skills_labels":220,"max_cpc":76,"actual_cpc":76},59451,"senior-data-scientist-chn010-refinitiv-technology-china-co-ltd","Senior Data Scientist",{"name":208,"slug":209,"logo_url":11},"Refinitiv Technology China Co., Ltd.","refinitiv-technology-china-co-ltd",[211],"Hai Dian Qu",[213],"CN",[26],{"r":30,"aws":29,"git":30,"sql":30,"azure":30,"ci\u002Fcd":30,"mlops":30,"python":29,"pytorch":29,"tensorflow":29,"scikit-learn":29},[36,180,181,217,218,185,182,131,132,41,61],"TensorFlow","PyTorch",{"data science":29,"web crawling":30,"data pipeline":30,"deep learning":29,"data analytics":29,"product vision":30,"cloud platforms":29,"data management":30,"coding standards":30,"machine learning":29,"entity extraction":30,"prompt engineering":29,"feature engineering":29,"financial analytics":30,"predictive modeling":29,"relational databases":30,"statistical analysis":29,"evaluation frameworks":30,"large language models":29,"large-scale data processing":30,"natural language processing":29,"retrieval-augmented generation":29},[221,93,194,222,223,224,225,226,192,227,191,228,199,202,229,230,231,232,233,234,235,236],"Data Science","Natural Language Processing","Large Language Models","Prompt Engineering","Retrieval-Augmented Generation","Statistical Analysis","Predictive Modeling","Web Crawling","Financial Analytics","Product Vision","Coding Standards","Evaluation Frameworks","Cloud Platforms","Relational Databases","Large-scale Data Processing","Data Pipeline",{"id":238,"slug":239,"title":240,"raw_title":11,"is_featured":12,"company":241,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":245,"processed_country_iso_code_gmaps":247,"processed_home_office":20,"processed_salary_min":249,"processed_salary_max":250,"processed_salary_currency":251,"processed_salary_source":24,"processed_working_hours":252,"processed_employment_types":27,"processed_it_skills":253,"processed_it_skills_labels":254,"processed_job_expertise_skills":257,"processed_job_expertise_skills_labels":258,"max_cpc":76,"actual_cpc":76},42459,"assoc-director-country-ai-engineer-allianz-insurance","Assoc. Director - Country AI Engineer",{"name":242,"slug":243,"logo_url":244},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[246],"Bangkok",[248],"TH",150000,250000,"THB",[26],{"apis":30,"azure":29,"ci\u002Fcd":30,"mlops":29,"llmops":29,"python":29,"azure openai":29,"azure ai search":29},[36,132,255,256,61,97,41,137],"Azure OpenAI","Azure AI Search",{"analytics":29,"ai evaluation":29,"generative ai":29,"predictive modeling":29,"ai solution delivery":29,"software engineering":29,"production deployment":29,"regulatory compliance":30,"insurance domain knowledge":30,"machine learning fundamentals":29},[259,94,227,260,261,262,263,264,265,107],"AI Solution Delivery","Analytics","Machine Learning Fundamentals","AI Evaluation","Software Engineering","Production Deployment","Insurance Domain Knowledge",{"id":267,"slug":268,"title":269,"raw_title":11,"is_featured":12,"company":270,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":271,"processed_country_iso_code_gmaps":272,"processed_home_office":20,"processed_salary_min":273,"processed_salary_max":274,"processed_salary_currency":251,"processed_salary_source":24,"processed_working_hours":275,"processed_employment_types":27,"processed_it_skills":276,"processed_it_skills_labels":277,"processed_job_expertise_skills":278,"processed_job_expertise_skills_labels":279,"max_cpc":76,"actual_cpc":76},42457,"manager-country-ai-engineer-allianz-insurance","Manager - Country AI Engineer",{"name":242,"slug":243,"logo_url":244},[246],[248],1200000,2400000,[26],{"azure":30,"ci\u002Fcd":30,"mlops":30,"python":29},[36,132,61,41],{"eda":30,"llmops":30,"analytics":30,"deployment":30,"generative ai":29,"model testing":30,"data preparation":30,"model evaluation":30,"azure ai services":30,"model development":29,"predictive modeling":29},[94,227,260,280,281,282,283,284,285,286,97],"Data Preparation","EDA","Model Development","Model Testing","Model Evaluation","Deployment","Azure AI Services",{"id":288,"slug":289,"title":165,"raw_title":11,"is_featured":12,"company":290,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":293,"processed_country_iso_code_gmaps":295,"processed_home_office":173,"processed_salary_min":297,"processed_salary_max":298,"processed_salary_currency":299,"processed_salary_source":24,"processed_working_hours":300,"processed_employment_types":27,"processed_it_skills":301,"processed_it_skills_labels":302,"processed_job_expertise_skills":303,"processed_job_expertise_skills_labels":304,"max_cpc":76,"actual_cpc":76},59947,"junior-data-scientist-phl001-refinitiv-limited-philippines-branch",{"name":291,"slug":292,"logo_url":11},"Refinitiv Limited - Philippines Branch","refinitiv-limited-philippines-branch",[294],"Taguig",[296],"PH",30000,45000,"PHP",[26],{"r":30,"aws":30,"git":30,"sql":30,"azure":30,"ci\u002Fcd":30,"mlops":30,"numpy":29,"pandas":29,"python":29,"scikit-learn":29},[36,180,181,182,131,132,183,184,185,61,41],{"nlp":29,"llms":29,"web scraping":30,"data cleaning":29,"rag workflows":29,"data analytics":29,"data management":30,"machine learning":29,"entity extraction":30,"data transformation":29,"feature engineering":29,"exploratory analysis":29,"statistical modelling":30,"financial services knowledge":189,"investment banking knowledge":189},[191,192,93,186,187,305,193,195,196,197,198,199,202,201,306],"RAG Workflows","Investment Banking Knowledge",{"id":308,"slug":309,"title":310,"raw_title":11,"is_featured":12,"company":311,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":314,"processed_country_iso_code_gmaps":315,"processed_home_office":20,"processed_salary_min":316,"processed_salary_max":317,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":318,"processed_employment_types":27,"processed_it_skills":319,"processed_it_skills_labels":320,"processed_job_expertise_skills":334,"processed_job_expertise_skills_labels":335,"max_cpc":76,"actual_cpc":76},80335,"senior-ai-engineer-allstate-insurance-co","Senior AI Engineer",{"name":312,"slug":313,"logo_url":11},"Allstate Insurance Co.","allstate-insurance-co",[],[],100000,170500,[26],{"owl":30,"rdf":30,"ci\u002Fcd":189,"genai":29,"mlops":189,"llmops":189,"python":29,"sparql":30,"etl\u002Felt":30,"langchain":30,"google adk":30,"star schemas":30,"microsoft azure":30,"containerisation":189,"knowledge graphs":30,"microsoft fabric":30,"agentic ai frameworks":30,"large language models (llms)":29},[36,321,322,323,324,325,153,326,327,328,329,330,331,332,61,97,41,333],"GenAI","Large Language Models (LLMs)","RDF","OWL","SPARQL","Agentic AI Frameworks","Google ADK","LangChain","ETL\u002FELT","Star Schemas","Microsoft Azure","Microsoft Fabric","Containerisation",{"data modeling":30,"ai observability":189,"data cataloguing":189,"data engineering":30,"ontology mapping":189,"semantic alignment":189,"distributed systems":189,"ontology engineering":30,"semantic technologies":30,"enterprise data models":189},[336,337,338,339,340,341,342,343,344,345],"Semantic Technologies","Ontology Engineering","Data Engineering","Data Modeling","Enterprise Data Models","Semantic Alignment","Ontology Mapping","Data Cataloguing","AI Observability","Distributed Systems",{"id":347,"slug":348,"title":349,"raw_title":11,"is_featured":12,"company":350,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":353,"processed_country_iso_code_gmaps":355,"processed_home_office":173,"processed_salary_min":356,"processed_salary_max":357,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":358,"processed_employment_types":27,"processed_it_skills":359,"processed_it_skills_labels":360,"processed_job_expertise_skills":372,"processed_job_expertise_skills_labels":373,"max_cpc":76,"actual_cpc":76},67463,"lead-architect-ai-solutions-architecture-pi-020-travelers-indemnity-co","Lead Architect , AI Solutions Architecture - PI",{"name":351,"slug":352,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[354],"Hartford",[124],169400,279600,[26],{"rag":29,"ai\u002Fml":29,"ci\u002Fcd":30,"mlops":29,"crew ai":30,"langchain":30,"agentic ai":29,"agent2agent":30,"openai codex":30,"azure foundry":189,"gcp\u002Fgemini ai":189,"generative ai":29,"github copilot":30,"vector databases":30,"claude enterprise\u002Fcli\u002Fcode":30,"model context protocol (mcp)":30,"cloud ai services (aws bedrock)":29},[361,94,95,328,362,363,364,96,365,61,41,366,367,368,369,370,371],"AI\u002FML","Crew AI","Model Context Protocol (MCP)","Agent2Agent","Vector Databases","Cloud AI Services (AWS Bedrock)","Azure Foundry","GCP\u002FGemini AI","Claude Enterprise\u002FCLI\u002FCode","OpenAI Codex","GitHub Copilot",{"ai ethics":29,"roadmapping":29,"architecture":29,"ai governance":29,"bias mitigation":29,"proof of concept":29,"agile methodologies":29,"technology strategy":29,"insurance technology":30,"model risk management":30,"target state architecture":29,"regulatory frameworks (eu ai act, gdpr)":30},[374,375,376,377,378,379,380,111,381,382,383,384],"Architecture","AI Ethics","Bias Mitigation","Regulatory Frameworks (EU AI Act, GDPR)","AI Governance","Model Risk Management","Insurance Technology","Technology Strategy","Proof of Concept","Target State Architecture","Roadmapping",{"id":386,"slug":387,"title":388,"raw_title":11,"is_featured":12,"company":389,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":390,"processed_country_iso_code_gmaps":391,"processed_home_office":173,"processed_salary_min":356,"processed_salary_max":357,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":392,"processed_employment_types":27,"processed_it_skills":393,"processed_it_skills_labels":394,"processed_job_expertise_skills":396,"processed_job_expertise_skills_labels":397,"max_cpc":76,"actual_cpc":76},67462,"lead-architect-ai-solutions-architecture-claim-020-travelers-indemnity-co","Lead Architect , AI Solutions Architecture - Claim",{"name":351,"slug":352,"logo_url":11},[354],[124],[26],{"rag":29,"ai\u002Fml":29,"ci\u002Fcd":29,"mlops":29,"python":29,"crew ai":29,"langchain":29,"agentic ai":29,"agent2agent":29,"openai codex":29,"generative ai":29,"github copilot":29,"vector databases":29,"claude enterprise":29,"model context protocol (mcp)":29,"cloud ai services (aws bedrock)":29},[361,94,95,328,362,363,364,96,365,61,41,366,36,371,370,395],"Claude Enterprise",{"ai ethics":29,"roadmapping":29,"architecture":29,"ai governance":29,"value creation":30,"bias mitigation":29,"agile methodologies":29,"technology strategy":29,"insurance technology":30,"model risk management":29,"business capability models":30,"regulatory frameworks (eu ai act, gdpr, naic, nist ai rmf)":29},[374,375,376,379,378,398,380,111,381,384,399,400],"Regulatory Frameworks (EU AI Act, GDPR, NAIC, NIST AI RMF)","Value Creation","Business Capability Models",{"id":402,"slug":403,"title":404,"raw_title":11,"is_featured":12,"company":405,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":406,"processed_country_iso_code_gmaps":407,"processed_home_office":173,"processed_salary_min":408,"processed_salary_max":409,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":410,"processed_employment_types":27,"processed_it_skills":411,"processed_it_skills_labels":412,"processed_job_expertise_skills":416,"processed_job_expertise_skills_labels":417,"max_cpc":76,"actual_cpc":76},67474,"senior-architect-ai-solutions-architecture-ets-020-travelers-indemnity-co","Senior Architect, AI Solutions Architecture - ETS",{"name":351,"slug":352,"logo_url":11},[354],[124],139400,230000,[26],{"llm":29,"mcp":30,"rag":29,"ai\u002Fml":29,"ci\u002Fcd":30,"mlops":30,"python":30,"crew ai":30,"langchain":30,"aws bedrock":30,"openai codex":30,"generative ai":29,"github copilot":30,"vector databases":30,"claude enterprise":30},[361,94,413,96,328,362,414,415,61,41,36,365,371,395,370],"LLM","MCP","AWS Bedrock",{"architecture":29,"ai governance":30,"risk management":30,"project management":30,"agile methodologies":30,"technology strategy":29,"solution architecture":29,"insurance industry knowledge":30},[374,418,378,419,111,420,381,103],"Solution Architecture","Risk Management","Insurance Industry Knowledge",{"id":422,"slug":423,"title":424,"raw_title":11,"is_featured":12,"company":425,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":426,"processed_country_iso_code_gmaps":427,"processed_home_office":173,"processed_salary_min":356,"processed_salary_max":357,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":428,"processed_employment_types":27,"processed_it_skills":429,"processed_it_skills_labels":430,"processed_job_expertise_skills":431,"processed_job_expertise_skills_labels":432,"max_cpc":76,"actual_cpc":76},67464,"lead-architect-ai-solutions-architecture-edda-020-travelers-indemnity-co","Lead Architect , AI Solutions Architecture - EDDA",{"name":351,"slug":352,"logo_url":11},[354],[124],[26],{"rag":29,"ai\u002Fml":29,"ci\u002Fcd":29,"mlops":29,"python":29,"crew ai":29,"langchain":29,"agentic ai":29,"agent2agent":29,"aws bedrock":29,"openai codex":29,"azure foundry":30,"gcp\u002Fgemini ai":30,"generative ai":29,"github copilot":29,"vector databases":29,"claude enterprise\u002Fcli\u002Fcode":29,"model context protocol (mcp)":29},[361,94,95,328,362,363,364,96,365,415,367,368,61,41,36,369,370,371],{"statistics":29,"architecture":29,"ai governance":29,"linear algebra":29,"proof of concept":29,"probability theory":29,"technology strategy":29,"agile operating model":29,"model risk management":29,"ethics and bias mitigation":29,"insurance industry knowledge":30,"regulatory frameworks (eu ai act, gdpr, naic, nist ai rmf)":29},[374,378,379,433,398,420,434,381,382,435,436,437],"Ethics and Bias Mitigation","Agile Operating Model","Linear Algebra","Statistics","Probability Theory",{"id":439,"slug":440,"title":441,"raw_title":11,"is_featured":12,"company":442,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":445,"processed_country_iso_code_gmaps":447,"processed_home_office":173,"processed_salary_min":449,"processed_salary_max":450,"processed_salary_currency":451,"processed_salary_source":24,"processed_working_hours":452,"processed_employment_types":27,"processed_it_skills":453,"processed_it_skills_labels":454,"processed_job_expertise_skills":458,"processed_job_expertise_skills_labels":459,"max_cpc":76,"actual_cpc":76},65796,"machine-learning-engineer-ii-the-toronto-dominion-bank-canada","Machine Learning Engineer II",{"name":443,"slug":444,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[446],"Toronto",[448],"CA",154000,199500,"CAD",[26],{"r":30,"sql":29,"mlops":29,"scala":30,"python":29,"data engineering":29,"machine learning":29,"cloud architecture":30,"software development":29},[36,181,180,455,456,61,93,338,457],"Scala","Cloud Architecture","Software Development",{"scrum":30,"data science":29,"generative ai":29,"responsible ai":30,"product adoption":30,"time series forecasting":30,"machine learning systems":29},[221,460,94,461,462,463,464],"Machine Learning Systems","Time Series Forecasting","Responsible AI","Product Adoption","Scrum",{"id":466,"slug":467,"title":468,"raw_title":11,"is_featured":12,"company":469,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":472,"processed_country_iso_code_gmaps":473,"processed_home_office":173,"processed_salary_min":475,"processed_salary_max":476,"processed_salary_currency":477,"processed_salary_source":24,"processed_working_hours":478,"processed_employment_types":27,"processed_it_skills":479,"processed_it_skills_labels":480,"processed_job_expertise_skills":491,"processed_job_expertise_skills_labels":492,"max_cpc":76,"actual_cpc":76},62362,"data-amp-ai-architect-ocbc-bank","Data & AI Architect",{"name":470,"slug":471,"logo_url":11},"OCBC Bank","ocbc-bank",[],[474],"SG",120000,180000,"SGD",[26],{"kafka":29,"mlops":29,"data lineage":29,"data modeling":29,"orchestration":29,"data governance":29,"metadata management":29,"catalog\u002Flineage tools":29,"aws redshift\u002Fsagemaker":29,"gcp bigquery\u002Fvertex ai":29,"azure synapse\u002Ffabric\u002Fml":29},[481,482,483,484,485,61,486,487,488,489,490],"Azure Synapse\u002FFabric\u002FML","AWS Redshift\u002FSageMaker","GCP BigQuery\u002FVertex AI","Kafka","Data modeling","Data governance","Data lineage","Metadata management","Orchestration","Catalog\u002Flineage tools",{"togaf":30,"cissp\u002Fccsp":30,"responsible ai":29,"ai architecture":29,"data architecture":29,"privacy-by-design":29,"security-by-design":29,"data mesh\u002Flakehouse":29,"model risk controls":29,"streaming analytics":29,"solution architecture":29,"enterprise architecture":29,"data platform modernization":29,"multi-cloud\u002Fhybrid environments":29},[493,494,495,496,497,498,499,462,500,501,502,503,504,505],"Enterprise architecture","Solution architecture","Data architecture","AI architecture","Data mesh\u002Flakehouse","Streaming analytics","Model risk controls","Privacy-by-design","Security-by-design","Data platform modernization","Multi-cloud\u002Fhybrid environments","TOGAF","CISSP\u002FCCSP",{"id":507,"slug":508,"title":509,"raw_title":11,"is_featured":12,"company":510,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":513,"processed_country_iso_code_gmaps":515,"processed_home_office":20,"processed_salary_min":89,"processed_salary_max":516,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":517,"processed_employment_types":27,"processed_it_skills":518,"processed_it_skills_labels":519,"processed_job_expertise_skills":531,"processed_job_expertise_skills_labels":532,"max_cpc":76,"actual_cpc":76},83665,"sr-staff-engineer-applied-ai-government-employees-insurance-company","Sr Staff Engineer - Applied AI",{"name":511,"slug":512,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[514],"Bethesda",[124],260000,[26],{"rag":29,"java":30,"mlops":30,"python":29,"embabel":30,"langchain":29,"langgraph":29,"langsmith":29,"spring ai":30,"llamaindex":29,"langchain4j":30,"openai apis":29,"hugging face":29,"anthropic apis":29,"knowledge graphs":29,"vector databases":29,"distributed systems":29,"microservices architecture":29},[36,328,520,521,522,523,524,525,96,365,153,345,526,527,528,529,530,61],"LangGraph","LangSmith","LlamaIndex","Hugging Face","OpenAI APIs","Anthropic APIs","Microservices Architecture","Java","Spring AI","LangChain4j","Embabel",{"ai safety":30,"ai governance":30,"generative ai":29,"ai architecture":29,"fraud detection":30,"anomaly modeling":30,"agentic workflows":29,"ai\u002Fml engineering":29,"multi-agent systems":29,"software engineering":29,"document intelligence":30,"regulatory compliance":30,"reliability engineering":29,"decision support systems":30,"performance optimization":29},[533,94,534,535,146,263,536,537,538,378,107,539,540,541,542],"AI\u002FML Engineering","Agentic Workflows","Multi-Agent Systems","Performance Optimization","Reliability Engineering","AI Safety","Document Intelligence","Fraud Detection","Anomaly Modeling","Decision Support Systems",{"id":544,"slug":545,"title":206,"raw_title":11,"is_featured":12,"company":546,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":549,"processed_country_iso_code_gmaps":551,"processed_home_office":173,"processed_salary_min":475,"processed_salary_max":476,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":553,"processed_employment_types":27,"processed_it_skills":554,"processed_it_skills_labels":555,"processed_job_expertise_skills":557,"processed_job_expertise_skills_labels":558,"max_cpc":76,"actual_cpc":76},59765,"senior-data-scientist-ind201-refinitiv-india-shared-services-private-limited-2",{"name":547,"slug":548,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[550],"Bengaluru",[552],"IN",[26],{"sql":30,"mlops":29,"python":29,"cloud computing":29},[36,180,556,61],"Cloud Computing",{"data science":29,"machine learning":29,"product ownership":29,"agile methodologies":30,"lseg data and products":30,"ai\u002Fml model development":29,"financial market content":29},[221,93,559,560,111,561,562],"AI\u002FML Model Development","Product Ownership","Financial Market Content","LSEG Data and Products",{"id":564,"slug":565,"title":206,"raw_title":11,"is_featured":12,"company":566,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":567,"processed_country_iso_code_gmaps":568,"processed_home_office":173,"processed_salary_min":88,"processed_salary_max":89,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":569,"processed_employment_types":27,"processed_it_skills":570,"processed_it_skills_labels":571,"processed_job_expertise_skills":575,"processed_job_expertise_skills_labels":576,"max_cpc":76,"actual_cpc":607},59777,"senior-data-scientist-ind201-refinitiv-india-shared-services-private-limited-5",{"name":547,"slug":548,"logo_url":11},[550],[552],[26],{"r":30,"aws":30,"nlp":29,"sql":29,"vba":189,"llms":29,"mlops":30,"python":29,"statistics":29,"rag workflow":29,"cloud computing":30,"data engineering":29,"machine learning":29,"data visualization":30,"prompt engineering":30,"relational databases":29},[36,180,181,572,556,61,186,187,573,224,338,93,436,234,574,131],"VBA","RAG Workflow","Data Visualization",{"sourcing":29,"deployment":30,"extraction":29,"leadership":29,"data science":29,"data analysis":29,"data cleaning":29,"market trends":29,"pdf processing":30,"pre-processing":29,"product vision":29,"data management":29,"poc development":30,"post-processing":29,"structured data":29,"data acquisition":29,"unstructured data":29,"business knowledge":29,"business processes":29,"product management":29,"automated solutions":29,"c-suite interaction":30,"data transformation":29,"feature engineering":29,"financial analytics":29,"pattern recognition":29,"predictive modeling":29,"pipeline development":30,"semi-structured data":29,"agile team leadership":29,"quantitative modeling":29,"stakeholder management":29,"technical articulation":29,"user experience design":30,"commercial data management":30,"distributed team management":30,"financial content knowledge":29,"open source data management":30,"scanned document processing":30},[221,192,227,202,229,577,230,578,579,580,581,582,583,584,585,586,587,285,588,195,196,589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606],"Product Management","User Experience Design","Business Knowledge","Leadership","Stakeholder Management","Data Analysis","Quantitative Modeling","Automated Solutions","Pattern Recognition","POC Development","Pipeline Development","Data Acquisition","Sourcing","Extraction","Pre-processing","Post-processing","Structured Data","Semi-structured Data","Unstructured Data","PDF Processing","Scanned Document Processing","Open Source Data Management","Commercial Data Management","Agile Team Leadership","Technical Articulation","Financial Content Knowledge","Business Processes","Market Trends","C-Suite Interaction","Distributed Team Management",0.5,{"industry":609,"employment_type":651,"expertise_skills":658,"it_skills":721,"salary_currency":787,"processed_working_hours":814},[610,614,618,622,625,629,633,636,639,642,645,648],{"key":611,"label":612,"count":613},"insurance","Insurance",33,{"key":615,"label":616,"count":617},"financial services","Financial Services",23,{"key":619,"label":620,"count":621},"banking","Banking",15,{"key":623,"label":624,"count":621},"financial markets infrastructure","Financial Markets Infrastructure",{"key":626,"label":627,"count":628},"data provider","Data Provider",9,{"key":630,"label":631,"count":632},"data","Data",6,{"key":634,"label":635,"count":30},"asset management","Asset Management",{"key":637,"label":638,"count":189},"property","Property",{"key":640,"label":641,"count":189},"casualty insurance","Casualty Insurance",{"key":643,"label":644,"count":189},"information technology","Information Technology",{"key":646,"label":647,"count":76},"advisory","Advisory",{"key":649,"label":650,"count":76},"wealth management","Wealth Management",[652,655],{"key":27,"label":653,"count":654},"PERMANENT",77,{"key":656,"label":657,"count":76},"student","STUDENT",[659,663,665,668,671,675,677,680,683,686,689,691,693,695,697,699,702,704,707,709,712,714,716,718],{"key":660,"label":661,"slug":660,"count":662},"ai-governance","Ai Governance",19,{"key":664,"label":93,"slug":664,"count":662},"machine-learning",{"key":666,"label":107,"slug":666,"count":667},"regulatory-compliance",17,{"key":669,"label":338,"slug":669,"count":670},"data-engineering",14,{"key":672,"label":673,"slug":672,"count":674},"responsible-ai","Responsible Ai",13,{"key":676,"label":192,"slug":676,"count":674},"feature-engineering",{"key":678,"label":99,"slug":678,"count":679},"data-governance",11,{"key":681,"label":682,"slug":681,"count":679},"model-deployment","Model Deployment",{"key":684,"label":221,"slug":684,"count":685},"data-science",10,{"key":687,"label":688,"slug":687,"count":685},"generative-ai","Generative Ai",{"key":690,"label":194,"slug":690,"count":685},"deep-learning",{"key":692,"label":227,"slug":692,"count":685},"predictive-modeling",{"key":694,"label":263,"slug":694,"count":628},"software-engineering",{"key":696,"label":379,"slug":696,"count":628},"model-risk-management",{"key":698,"label":111,"slug":698,"count":628},"agile-methodologies",{"key":700,"label":284,"slug":700,"count":701},"model-evaluation",8,{"key":703,"label":160,"slug":703,"count":701},"enterprise-architecture",{"key":705,"label":202,"slug":705,"count":706},"data-management",7,{"key":708,"label":144,"slug":708,"count":706},"data-architecture",{"key":710,"label":711,"slug":710,"count":706},"model-monitoring","Model Monitoring",{"key":713,"label":191,"slug":713,"count":706},"data-analytics",{"key":715,"label":418,"slug":715,"count":706},"solution-architecture",{"key":717,"label":436,"slug":717,"count":632},"statistics",{"key":719,"label":720,"slug":719,"count":632},"vendor-management","Vendor Management",[722,725,728,732,734,738,741,744,748,751,754,756,757,758,761,764,766,769,771,773,776,779,782,785],{"key":723,"label":724,"slug":723,"count":5},"mlops","Mlops",{"key":726,"label":36,"slug":726,"count":727},"python",58,{"key":729,"label":730,"slug":729,"count":731},"cicd","Ci\u002FCd",53,{"key":733,"label":180,"slug":733,"count":613},"sql",{"key":735,"label":736,"slug":735,"count":737},"aws","Aws",29,{"key":739,"label":740,"slug":739,"count":737},"ms-azure","MS Azure",{"key":742,"label":365,"slug":742,"count":743},"vector-databases",24,{"key":745,"label":746,"slug":745,"count":747},"rag","Rag",22,{"key":749,"label":750,"slug":749,"count":621},"langchain","Langchain",{"key":752,"label":753,"slug":752,"count":621},"scikit-learn","Scikit-Learn",{"key":755,"label":182,"slug":755,"count":670},"git",{"key":687,"label":688,"slug":687,"count":670},{"key":664,"label":93,"slug":664,"count":674},{"key":759,"label":760,"slug":759,"count":674},"pytorch","Pytorch",{"key":762,"label":763,"slug":762,"count":674},"tensorflow","Tensorflow",{"key":765,"label":40,"slug":765,"count":674},"kubernetes",{"key":767,"label":140,"slug":767,"count":768},"databricks",12,{"key":770,"label":39,"slug":770,"count":768},"docker",{"key":772,"label":527,"slug":772,"count":768},"java",{"key":774,"label":775,"slug":774,"count":679},"llms","Llms",{"key":777,"label":778,"slug":777,"count":679},"llmops","Llmops",{"key":780,"label":781,"slug":780,"count":685},"gcp","Gcp",{"key":783,"label":784,"slug":783,"count":685},"microservices","Microservices",{"key":786,"label":181,"slug":786,"count":685},"r",[788,790,792,793,795,798,800,801,802,803,804,806,808,810,812],{"key":127,"label":127,"count":789},27,{"key":23,"label":23,"count":791},18,{"key":451,"label":451,"count":632},{"key":794,"label":794,"count":632},"GBP",{"key":796,"label":796,"count":797},"INR",5,{"key":799,"label":799,"count":30},"MXN",{"key":477,"label":477,"count":30},{"key":299,"label":299,"count":189},{"key":251,"label":251,"count":189},{"key":176,"label":176,"count":76},{"key":805,"label":805,"count":76},"HKD",{"key":807,"label":807,"count":76},"TWD",{"key":809,"label":809,"count":76},"BRL",{"key":811,"label":811,"count":76},"HUF",{"key":813,"label":813,"count":76},"MYR",[815,816],{"key":26,"label":26,"count":5},{"key":817,"label":817,"count":189},"PART_TIME",{"total":76,"jobs":819},[]]