[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-reinforcement-learning-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Freinforcement-learning":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Freinforcement-learning":433,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Freinforcement-learning":573},{},{"total":5,"jobs":6},15,[7,78,117,162,190,223,249,274,288,308,330,350,365,377,409],{"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":57,"processed_job_expertise_skills_labels":58,"max_cpc":77,"actual_cpc":77},83781,"senior-machine-learning-engineer-fraud-risk-modeling-government-employees-insurance-company","Senior Machine Learning Engineer, Fraud Risk Modeling",null,false,{"name":14,"slug":15,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[17],"Palo Alto",[19],"US","hybrid",115000,230000,"USD","estimated",[26],"FULL_TIME","permanent",{"c#":29,"aws":29,"c++":29,"gcp":29,"git":29,"ray":29,"java":29,"azure":29,"kafka":29,"spark":29,"docker":29,"python":29,"airflow":29,"mongodb":29,"pytorch":29,"temporal":29,"cassandra":29,"snowflake":29,"kubernetes":29,"postgresql":29,"tensorflow":29,"scikit-learn":29,"aws sagemaker":30,"gcp ai platform":30,"azure machine learning":30},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],"Python","Java","C++","C#","TensorFlow","PyTorch","Scikit-learn","AWS","Azure","GCP","Docker","Kubernetes","Git","Snowflake","Kafka","PostgreSQL","MongoDB","Cassandra","Spark","Ray","Airflow","Temporal","AWS SageMaker","GCP AI Platform","Azure Machine Learning",{"mlops":29,"deep learning":29,"system design":29,"design patterns":29,"machine learning":29,"model deployment":29,"agile methodologies":30,"distributed systems":29,"real-time inference":30,"gpu\u002Ftpu optimization":30,"serverless computing":30,"software engineering":29,"fault-tolerant systems":29,"object-oriented design":29,"reinforcement learning":29,"performance optimization":29,"low-latency model serving":30,"natural language processing":29},[59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76],"Machine Learning","Deep Learning","Reinforcement Learning","Natural Language Processing","Software Engineering","System Design","MLOps","Distributed Systems","Object-Oriented Design","Design Patterns","Agile Methodologies","Model Deployment","Performance Optimization","Fault-Tolerant Systems","Real-Time Inference","Low-Latency Model Serving","Serverless Computing","GPU\u002FTPU Optimization",1,{"id":79,"slug":80,"title":81,"raw_title":11,"is_featured":12,"company":82,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":85,"processed_country_iso_code_gmaps":87,"processed_home_office":20,"processed_salary_min":89,"processed_salary_max":90,"processed_salary_currency":91,"processed_salary_source":24,"processed_working_hours":92,"processed_employment_types":27,"processed_it_skills":93,"processed_it_skills_labels":94,"processed_job_expertise_skills":104,"processed_job_expertise_skills_labels":105,"max_cpc":77,"actual_cpc":77},84546,"data-scientist-with-german-sales-analytics-commerzbank-pl","Data Scientist with German - Sales Analytics",{"name":83,"slug":84,"logo_url":11},"COMMERZBANK PL","commerzbank-pl",[86],"Łódź",[88],"PL",180000,300000,"PLN",[26],{"sql":29,"pandas":29,"python":29,"bigquery":30,"langchain":30,"terraform":30,"cloud composer":30,"google cloud platform":30,"google agent development kit":30,"gemini enterprise agent platform":30},[32,95,96,97,98,99,100,101,102,103],"SQL","Pandas","Google Cloud Platform","BigQuery","Cloud Composer","Gemini Enterprise Agent Platform","Terraform","LangChain","Google Agent Development Kit",{"agentic ai":29,"data science":29,"ai governance":30,"deep learning":29,"generative ai":29,"machine learning":29,"model deployment":29,"model monitoring":29,"model validation":29,"data preprocessing":29,"model optimization":29,"feature engineering":29,"reinforcement learning":29,"stakeholder management":29,"technical documentation":30},[106,59,60,61,107,108,109,110,70,111,112,113,114,115,116],"Data Science","Generative AI","Agentic AI","Data Preprocessing","Feature Engineering","Model Monitoring","Model Optimization","Model Validation","Technical Documentation","AI Governance","Stakeholder Management",{"id":118,"slug":119,"title":120,"raw_title":11,"is_featured":12,"company":121,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":124,"processed_country_iso_code_gmaps":126,"processed_home_office":20,"processed_salary_min":128,"processed_salary_max":129,"processed_salary_currency":130,"processed_salary_source":24,"processed_working_hours":131,"processed_employment_types":27,"processed_it_skills":132,"processed_it_skills_labels":133,"processed_job_expertise_skills":139,"processed_job_expertise_skills_labels":140,"max_cpc":77,"actual_cpc":77},88189,"ind-senior-staff-software-engineer-hartford-global-services-private-limited-4","IND Senior Staff Software Engineer",{"name":122,"slug":123,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[125],"Hyderabad",[127],"IN",3000000,5000000,"INR",[26],{"aws":30,"c++":29,"gcp":30,"git":30,"java":29,"azure":30,"docker":30,"mlflow":30,"python":29,"crew ai":29,"kubeflow":30,"langgraph":29,"semantic kernel":29},[32,33,34,39,40,41,134,135,42,44,136,137,138],"MLflow","Kubeflow","LangGraph","Crew AI","Semantic Kernel",{"llmops":29,"edge ai":30,"ai ethics":30,"statistics":30,"mathematics":30,"generative ai":30,"vector search":29,"explainable ai":30,"bias mitigation":30,"computer vision":30,"data structures":29,"knowledge graph":29,"ai\u002Fml algorithms":29,"graph algorithms":29,"foundation models":30,"prompt engineering":29,"agent orchestration":29,"information retrieval":29,"reinforcement learning":30,"computational neuroscience":30,"model lifecycle management":29,"natural language processing":30,"real-time inference systems":30,"software engineering principles":29},[141,142,143,144,145,146,147,148,149,150,151,62,152,61,107,153,154,155,156,157,158,159,160,161],"AI\u002FML Algorithms","Data Structures","Software Engineering Principles","Agent Orchestration","LLMOps","Model Lifecycle Management","Vector Search","Information Retrieval","Graph Algorithms","Knowledge Graph","Prompt Engineering","Computer Vision","Foundation Models","Real-time Inference Systems","Edge AI","Mathematics","Statistics","Computational Neuroscience","AI Ethics","Bias Mitigation","Explainable AI",{"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":170,"processed_home_office":172,"processed_salary_min":173,"processed_salary_max":174,"processed_salary_currency":175,"processed_salary_source":24,"processed_working_hours":176,"processed_employment_types":27,"processed_it_skills":177,"processed_it_skills_labels":179,"processed_job_expertise_skills":183,"processed_job_expertise_skills_labels":184,"max_cpc":77,"actual_cpc":77},86218,"data-scientist-ai-lab-ocbc-bank-2","Data Scientist, AI Lab",{"name":167,"slug":168,"logo_url":11},"OCBC Bank","ocbc-bank",[],[171],"SG","onsite",90000,150000,"SGD",[26],{"sql":30,"hadoop":178,"python":29,"pytorch":30,"tensorflow":30,"apache spark":178,"scikit-learn":30},2,[32,36,37,180,95,181,182],"scikit-learn","Hadoop","Apache Spark",{"mlops":30,"agentic ai":30,"data science":29,"storytelling":30,"deep learning":30,"generative ai":30,"cloud computing":30,"machine learning":29,"data visualization":30,"big data technologies":178,"reinforcement learning":30,"natural language processing":30,"retrieval-augmented generation":30},[106,59,60,62,61,107,185,108,186,187,65,188,189],"Retrieval-Augmented Generation","Data Visualization","Storytelling","Cloud Computing","Big Data Technologies",{"id":191,"slug":192,"title":193,"raw_title":11,"is_featured":12,"company":194,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":197,"processed_country_iso_code_gmaps":199,"processed_home_office":20,"processed_salary_min":201,"processed_salary_max":202,"processed_salary_currency":203,"processed_salary_source":24,"processed_working_hours":204,"processed_employment_types":27,"processed_it_skills":205,"processed_it_skills_labels":206,"processed_job_expertise_skills":210,"processed_job_expertise_skills_labels":211,"max_cpc":77,"actual_cpc":77},70466,"enterprise-architect-ai-and-data-bank-of-montreal","Enterprise Architect – AI and Data",{"name":195,"slug":196,"logo_url":11},"Bank of Montreal","bank-of-montreal",[198],"Toronto",[200],"CA",85500,185000,"CAD",[26],{"aws":30,"gcp":30,"sql":29,"apis":30,"azure":30,"python":29,"pytorch":30,"tensorflow":30,"mlops tools":30,"microservices":30},[32,95,36,37,40,39,41,207,208,209],"MLOps tools","APIs","Microservices",{"llms":30,"generative ai":30,"ai architecture":29,"risk management":29,"data engineering":29,"machine learning":29,"data architecture":29,"cloud architecture":29,"software development":29,"technology governance":29,"reinforcement learning":30,"business case development":30,"financial industry knowledge":30,"enterprise architecture frameworks":29},[212,213,59,107,214,61,215,216,217,218,219,220,221,222],"AI Architecture","Data Architecture","LLMs","Cloud Architecture","Data Engineering","Software Development","Enterprise Architecture Frameworks","Technology Governance","Risk Management","Financial Industry Knowledge","Business Case Development",{"id":224,"slug":225,"title":226,"raw_title":11,"is_featured":12,"company":227,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":228,"processed_country_iso_code_gmaps":230,"processed_home_office":172,"processed_salary_min":174,"processed_salary_max":90,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":231,"processed_employment_types":27,"processed_it_skills":232,"processed_it_skills_labels":233,"processed_job_expertise_skills":234,"processed_job_expertise_skills_labels":235,"max_cpc":77,"actual_cpc":77},83652,"senior-staff-applied-research-scientist-government-employees-insurance-company","Senior Staff Applied  Research Scientist",{"name":14,"slug":15,"logo_url":11},[229],"Bethesda",[19],[26],{"sql":29,"python":29,"pytorch":29,"tensorflow":29,"scikit-learn":29},[32,95,37,36,38],{"a\u002Fb testing":29,"red-teaming":30,"deep learning":29,"prompt design":30,"kpi frameworks":29,"responsible ai":29,"data governance":29,"causal inference":29,"machine learning":29,"model deployment":29,"insurance operations":178,"statistical learning":29,"large language models":29,"numerical optimization":30,"reinforcement learning":30,"experimentation strategies":29,"human-in-the-loop workflows":30,"natural language processing":30,"retrieval-augmented generation":30},[59,60,236,237,238,239,240,241,70,242,243,244,62,61,185,245,246,247,248],"Large Language Models","Statistical Learning","Causal Inference","A\u002FB Testing","KPI Frameworks","Experimentation Strategies","Data Governance","Responsible AI","Numerical Optimization","Prompt Design","Red-Teaming","Human-in-the-Loop Workflows","Insurance Operations",{"id":250,"slug":251,"title":252,"raw_title":11,"is_featured":12,"company":253,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":254,"processed_country_iso_code_gmaps":255,"processed_home_office":172,"processed_salary_min":256,"processed_salary_max":256,"processed_salary_currency":203,"processed_salary_source":24,"processed_working_hours":257,"processed_employment_types":27,"processed_it_skills":258,"processed_it_skills_labels":259,"processed_job_expertise_skills":266,"processed_job_expertise_skills_labels":267,"max_cpc":77,"actual_cpc":77},70422,"analyst-data-scientist-bank-of-montreal","Analyst, Data Scientist",{"name":195,"slug":196,"logo_url":11},[198],[200],100000,[26],{"python":29,"factset":178,"bloomberg":178,"mlops tools":178,"thomson reuters":178,"cloud technologies":30,"machine learning frameworks":29},[32,260,261,262,263,264,265],"Cloud Technologies","Machine Learning Frameworks","MLOps Tools","Bloomberg","FactSet","Thomson Reuters",{"deep learning":29,"generative ai":30,"trading strategies":30,"algorithmic trading":29,"statistical modeling":29,"time series analysis":29,"financial data formats":30,"reinforcement learning":29,"investment banking concepts":30},[268,269,270,107,60,61,271,272,273],"Statistical Modeling","Time Series Analysis","Algorithmic Trading","Investment Banking Concepts","Trading Strategies","Financial Data Formats",{"id":275,"slug":276,"title":277,"raw_title":11,"is_featured":12,"company":278,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":279,"processed_country_iso_code_gmaps":280,"processed_home_office":172,"processed_salary_min":173,"processed_salary_max":281,"processed_salary_currency":203,"processed_salary_source":24,"processed_working_hours":282,"processed_employment_types":27,"processed_it_skills":283,"processed_it_skills_labels":284,"processed_job_expertise_skills":285,"processed_job_expertise_skills_labels":286,"max_cpc":77,"actual_cpc":77},81328,"associate-data-scientist-bank-of-montreal","Associate, Data Scientist",{"name":195,"slug":196,"logo_url":11},[198],[200],120000,[26],{"python":29,"factset":178,"bloomberg":178,"mlops tools":178,"thomson reuters":178,"cloud technologies":30},[32,260,263,264,265,262],{"deep learning":30,"generative ai":30,"machine learning":29,"trading strategies":178,"algorithmic trading":30,"statistical modeling":29,"time series analysis":29,"financial data formats":178,"reinforcement learning":30,"investment banking knowledge":178},[268,269,59,107,60,61,270,287,272,273],"Investment Banking Knowledge",{"id":289,"slug":290,"title":291,"raw_title":11,"is_featured":12,"company":292,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":293,"processed_country_iso_code_gmaps":294,"processed_home_office":20,"processed_salary_min":201,"processed_salary_max":202,"processed_salary_currency":203,"processed_salary_source":24,"processed_working_hours":295,"processed_employment_types":27,"processed_it_skills":296,"processed_it_skills_labels":297,"processed_job_expertise_skills":298,"processed_job_expertise_skills_labels":299,"max_cpc":77,"actual_cpc":77},70424,"artificial-intelligence-data-architect-developer-bank-of-montreal","Artificial Intelligence & Data Architect (Developer)",{"name":195,"slug":196,"logo_url":11},[198],[200],[26],{"aws":29,"gcp":178,"sql":30,"apis":30,"azure":178,"mlops":30,"python":29,"pytorch":30,"tensorflow":30,"microservices":30},[32,95,39,36,37,40,41,65,208,209],{"llms":30,"sdlc":29,"genai":30,"data pipelines":29,"data governance":30,"machine learning":29,"model deployment":29,"model monitoring":29,"proof-of-concept":30,"data architecture":29,"cloud architecture":29,"software development":29,"solution architecture":29,"reinforcement learning":30,"artificial intelligence":29,"enterprise architecture":29,"financial industry knowledge":30,"technical roadmap development":29},[217,213,300,59,301,302,303,304,70,111,215,305,214,61,221,242,306,307],"Artificial Intelligence","Enterprise Architecture","Solution Architecture","SDLC","Data Pipelines","GenAI","Technical Roadmap Development","Proof-of-Concept",{"id":309,"slug":310,"title":311,"raw_title":11,"is_featured":12,"company":312,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":315,"processed_country_iso_code_gmaps":317,"processed_home_office":172,"processed_salary_min":281,"processed_salary_max":89,"processed_salary_currency":319,"processed_salary_source":24,"processed_working_hours":320,"processed_employment_types":27,"processed_it_skills":321,"processed_it_skills_labels":322,"processed_job_expertise_skills":323,"processed_job_expertise_skills_labels":324,"max_cpc":77,"actual_cpc":77},76395,"data-scientist-ocbc-malaysia-2","Data Scientist",{"name":313,"slug":314,"logo_url":11},"OCBC Malaysia","ocbc-malaysia",[316],"Kuala Lumpur",[318],"MY","MYR",[26],{"sql":30,"hadoop":178,"python":29,"pytorch":30,"tensorflow":30,"apache spark":178,"scikit-learn":30},[32,36,37,180,95,181,182],{"mentoring":29,"data science":29,"data analysis":29,"deep learning":30,"generative ai":29,"team leadership":29,"machine learning":29,"data visualization":30,"big data technologies":178,"ai solution deployment":29,"reinforcement learning":30,"strategic decision making":29,"natural language processing":30},[106,107,59,60,62,61,189,325,326,327,328,186,329],"AI Solution Deployment","Team Leadership","Mentoring","Data Analysis","Strategic Decision Making",{"id":331,"slug":332,"title":333,"raw_title":11,"is_featured":12,"company":334,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":337,"processed_country_iso_code_gmaps":339,"processed_home_office":172,"processed_salary_min":281,"processed_salary_max":89,"processed_salary_currency":175,"processed_salary_source":24,"processed_working_hours":340,"processed_employment_types":27,"processed_it_skills":341,"processed_it_skills_labels":342,"processed_job_expertise_skills":343,"processed_job_expertise_skills_labels":344,"max_cpc":77,"actual_cpc":77},67961,"vpavp-innovation-amp-research-ir-data-scientist-ir-labs-innovation-group-1011-united-overseas-bank-ltd","VP\u002FAVP, Innovation & Research (IR) Data Scientist, IR Labs, Innovation Group",{"name":335,"slug":336,"logo_url":11},"United Overseas Bank Ltd","united-overseas-bank-ltd",[338],"Singapore",[171],[26],{"python":29,"pytorch":29,"data visualization":30},[32,37,186],{"deep learning":29,"causal inference":29,"econometric modelling":29,"probabilistic bayesian":29,"reinforcement learning":29,"genai (llm, multimodal)":29,"agile project management":30,"research and development":29},[60,61,238,345,346,347,348,349],"Probabilistic Bayesian","Econometric Modelling","GenAI (LLM, Multimodal)","Agile Project Management","Research and Development",{"id":351,"slug":352,"title":311,"raw_title":11,"is_featured":12,"company":353,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":354,"processed_country_iso_code_gmaps":355,"processed_home_office":172,"processed_salary_min":356,"processed_salary_max":173,"processed_salary_currency":175,"processed_salary_source":24,"processed_working_hours":357,"processed_employment_types":27,"processed_it_skills":358,"processed_it_skills_labels":359,"processed_job_expertise_skills":360,"processed_job_expertise_skills_labels":361,"max_cpc":77,"actual_cpc":77},62056,"data-scientist-ocbc-malaysia",{"name":313,"slug":314,"logo_url":11},[316],[318],60000,[26],{"sql":30,"hadoop":30,"python":29,"pytorch":29,"tensorflow":29,"apache spark":30,"scikit-learn":29},[32,95,36,37,180,181,182],{"nlp":29,"rag":29,"agentic ai":30,"deep learning":29,"generative ai":29,"machine learning":29,"data storytelling":30,"data visualization":30,"reinforcement learning":30},[59,60,362,61,107,363,108,186,364],"NLP","RAG","Data Storytelling",{"id":366,"slug":367,"title":368,"raw_title":11,"is_featured":12,"company":369,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":370,"processed_country_iso_code_gmaps":371,"processed_home_office":172,"processed_salary_min":281,"processed_salary_max":174,"processed_salary_currency":203,"processed_salary_source":24,"processed_working_hours":372,"processed_employment_types":27,"processed_it_skills":373,"processed_it_skills_labels":374,"processed_job_expertise_skills":375,"processed_job_expertise_skills_labels":376,"max_cpc":77,"actual_cpc":77},54766,"vice-president-data-scientist-bank-of-montreal","Vice President, Data Scientist",{"name":195,"slug":196,"logo_url":11},[198],[200],[26],{"mlops":30,"python":29,"factset":178,"bloomberg":178,"thomson reuters":178,"cloud technologies":30,"machine learning frameworks":29},[32,261,260,65,263,264,265],{"deep learning":29,"generative ai":30,"trading strategies":30,"algorithmic trading":29,"statistical modeling":29,"time series analysis":29,"financial data formats":30,"reinforcement learning":30,"investment banking concepts":30},[268,269,107,60,61,270,271,272,273],{"id":378,"slug":379,"title":380,"raw_title":11,"is_featured":12,"company":381,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":385,"processed_country_iso_code_gmaps":387,"processed_home_office":20,"processed_salary_min":389,"processed_salary_max":281,"processed_salary_currency":390,"processed_salary_source":24,"processed_working_hours":391,"processed_employment_types":27,"processed_it_skills":392,"processed_it_skills_labels":393,"processed_job_expertise_skills":395,"processed_job_expertise_skills_labels":396,"max_cpc":77,"actual_cpc":77},35880,"senior-ai-scientist-advanced-analytics-cdaio-banco-santander-sa","Senior AI Scientist Advanced Analytics - CDAIO",{"name":382,"slug":383,"logo_url":384},"Banco Santander S.A.","banco-santander-sa","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[386],"Amaiur-Maya",[388],"ES",80000,"EUR",[26],{"python":29,"machine learning frameworks":29,"distributed data\u002Fml environments":30},[32,261,394],"Distributed Data\u002FML Environments",{"governance":30,"statistics":29,"validation":29,"model design":29,"generative ai":30,"experimentation":29,"risk management":30,"data preparation":29,"model evaluation":29,"graph-based models":30,"operationalization":29,"experimental design":29,"reinforcement learning":30,"representation learning":30,"synthetic data generation":30,"advanced retrieval systems":30},[157,397,398,399,61,400,401,402,107,403,404,405,406,407,220,408],"Experimental Design","Model Evaluation","Graph-based Models","Synthetic Data Generation","Representation Learning","Advanced Retrieval Systems","Data Preparation","Model Design","Experimentation","Validation","Operationalization","Governance",{"id":410,"slug":411,"title":412,"raw_title":11,"is_featured":12,"company":413,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":416,"processed_country_iso_code_gmaps":417,"processed_home_office":172,"processed_salary_min":418,"processed_salary_max":419,"processed_salary_currency":203,"processed_salary_source":24,"processed_working_hours":420,"processed_employment_types":27,"processed_it_skills":421,"processed_it_skills_labels":422,"processed_job_expertise_skills":426,"processed_job_expertise_skills_labels":427,"max_cpc":77,"actual_cpc":432},66819,"research-machine-learning-scientist-the-toronto-dominion-bank-canada","Research Machine Learning Scientist",{"name":414,"slug":415,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[198],[200],140000,250000,[26],{"jax":29,"sql":30,"spark":30,"pytorch":29,"tensorflow":29,"gpu computing":29,"cloud computing (azure\u002Faws)":30},[37,36,423,50,95,424,425],"Jax","GPU computing","Cloud computing (Azure\u002FAWS)",{"research":29,"deep learning":29,"generative ai":29,"machine learning":29,"llm post-training":29,"publication record":29,"reinforcement learning":29,"time series forecasting":29},[59,60,107,428,61,429,430,431],"Time Series Forecasting","LLM Post-training","Research","Publication Record",0.5,{"industry":434,"employment_type":446,"expertise_skills":449,"it_skills":503,"salary_currency":562,"processed_working_hours":571},[435,439,443],{"key":436,"label":437,"count":438},"financial services","Financial Services",10,{"key":440,"label":441,"count":442},"banking","Banking",7,{"key":444,"label":445,"count":30},"insurance","Insurance",[447],{"key":27,"label":448,"count":5},"PERMANENT",[450,452,455,458,460,463,465,467,469,471,473,475,478,480,482,484,486,488,490,492,494,496,498,500],{"key":451,"label":61,"slug":451,"count":5},"reinforcement-learning",{"key":453,"label":60,"slug":453,"count":454},"deep-learning",11,{"key":456,"label":457,"slug":456,"count":454},"generative-ai","Generative Ai",{"key":459,"label":59,"slug":459,"count":438},"machine-learning",{"key":461,"label":62,"slug":461,"count":462},"natural-language-processing",5,{"key":464,"label":70,"slug":464,"count":29},"model-deployment",{"key":466,"label":269,"slug":466,"count":30},"time-series-analysis",{"key":468,"label":272,"slug":468,"count":30},"trading-strategies",{"key":470,"label":268,"slug":470,"count":30},"statistical-modeling",{"key":472,"label":273,"slug":472,"count":30},"financial-data-formats",{"key":474,"label":270,"slug":474,"count":30},"algorithmic-trading",{"key":476,"label":477,"slug":476,"count":30},"agentic-ai","Agentic Ai",{"key":479,"label":106,"slug":479,"count":30},"data-science",{"key":481,"label":186,"slug":481,"count":30},"data-visualization",{"key":483,"label":189,"slug":483,"count":178},"big-data-technologies",{"key":485,"label":221,"slug":485,"count":178},"financial-industry-knowledge",{"key":487,"label":217,"slug":487,"count":178},"software-development",{"key":489,"label":220,"slug":489,"count":178},"risk-management",{"key":491,"label":242,"slug":491,"count":178},"data-governance",{"key":493,"label":157,"slug":493,"count":178},"statistics",{"key":495,"label":111,"slug":495,"count":178},"model-monitoring",{"key":497,"label":213,"slug":497,"count":178},"data-architecture",{"key":499,"label":215,"slug":499,"count":178},"cloud-architecture",{"key":501,"label":502,"slug":501,"count":178},"mlops","Mlops",[504,507,511,514,517,519,522,525,528,530,533,535,538,540,542,544,546,548,550,552,555,557,559,561],{"key":505,"label":32,"slug":505,"count":506},"python",14,{"key":508,"label":509,"slug":508,"count":510},"pytorch","Pytorch",9,{"key":512,"label":95,"slug":512,"count":513},"sql",8,{"key":515,"label":516,"slug":515,"count":513},"tensorflow","Tensorflow",{"key":180,"label":518,"slug":180,"count":462},"Scikit-Learn",{"key":520,"label":521,"slug":520,"count":29},"gcp","Gcp",{"key":523,"label":524,"slug":523,"count":29},"aws","Aws",{"key":526,"label":527,"slug":526,"count":29},"ms-azure","MS Azure",{"key":529,"label":265,"slug":529,"count":30},"thomson-reuters",{"key":531,"label":532,"slug":531,"count":30},"factset","Factset",{"key":534,"label":261,"slug":534,"count":30},"machine-learning-frameworks",{"key":536,"label":537,"slug":536,"count":30},"mlops-tools","Mlops Tools",{"key":539,"label":260,"slug":539,"count":30},"cloud-technologies",{"key":541,"label":263,"slug":541,"count":30},"bloomberg",{"key":543,"label":181,"slug":543,"count":30},"hadoop",{"key":545,"label":182,"slug":545,"count":30},"apache-spark",{"key":547,"label":34,"slug":547,"count":178},"c",{"key":549,"label":33,"slug":549,"count":178},"java",{"key":551,"label":50,"slug":551,"count":178},"spark",{"key":553,"label":554,"slug":553,"count":178},"apis","Apis",{"key":556,"label":42,"slug":556,"count":178},"docker",{"key":558,"label":44,"slug":558,"count":178},"git",{"key":560,"label":209,"slug":560,"count":178},"microservices",{"key":501,"label":502,"slug":501,"count":178},[563,565,566,567,568,569,570],{"key":203,"label":203,"count":564},6,{"key":175,"label":175,"count":30},{"key":23,"label":23,"count":178},{"key":91,"label":91,"count":77},{"key":319,"label":319,"count":77},{"key":390,"label":390,"count":77},{"key":130,"label":130,"count":77},[572],{"key":26,"label":26,"count":5},{"total":77,"jobs":574},[575],{"id":576,"slug":577,"title":578,"raw_title":11,"is_featured":579,"company":580,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":584,"processed_country_iso_code_gmaps":586,"processed_home_office":588,"processed_salary_min":589,"processed_salary_max":590,"processed_salary_currency":390,"processed_salary_source":11,"processed_working_hours":591,"processed_employment_types":448,"processed_it_skills":593,"processed_it_skills_labels":11,"processed_job_expertise_skills":594,"processed_job_expertise_skills_labels":595,"max_cpc":602,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":581,"slug":582,"logo_url":583},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[585],"Frankfurt am Main",[587],"DE","HYBRID",45000,65000,[592],"full_time",{},{"Financial Analysis":30,"Regulatory Compliance":30,"New Customer Acquisition":30,"Private Banking Advisory":30,"Banking Products Knowledge":30,"Customer Relationship Management":30},[596,597,598,599,600,601],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]