[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-huggingface-transformers-global":3,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fhuggingface-transformers":4,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fhuggingface-transformers":108,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fhuggingface-transformers":243},{},{"total":5,"jobs":6},2,[7,63],{"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":28,"processed_it_skills":29,"processed_it_skills_labels":31,"processed_job_expertise_skills":49,"processed_job_expertise_skills_labels":50,"max_cpc":62,"actual_cpc":62},84221,"risk-ai-data-scientist-ing-bank-personeel-bv","Risk AI Data Scientist",null,false,{"name":14,"slug":15,"logo_url":16},"ING Bank Personeel BV","ing-bank-personeel-bv","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[18],"Amsterdam",[20],"NL","hybrid",80000,120000,"EUR","estimated",[27],"FULL_TIME","permanent",{"git":30,"sas":5,"sql":30,"faiss":30,"python":30,"pytorch":30,"langchain":30,"pipelines":30,"vertex ai":30,"workbench":30,"llamaindex":30,"tensorflow":30,"azure devops":30,"vertex search":30,"huggingface peft":30,"google cloud platform":30,"huggingface transformers":30},4,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"Python","SQL","PyTorch","TensorFlow","SAS","HuggingFace Transformers","HuggingFace PEFT","LangChain","LlamaIndex","FAISS","Vertex Search","Google Cloud Platform","Vertex AI","Workbench","Azure DevOps","Git","Pipelines",{"agile\u002Fscrum":30,"ai governance":30,"nlp pipelines":30,"rag pipelines":30,"risk management":30,"agentic ai workflows":30,"end-to-end pipelines":30,"credit risk modelling":30,"model lifecycle governance":30,"structured data governance":30,"unstructured data handling":30},[51,52,53,54,55,56,57,58,59,60,61],"Risk Management","Credit Risk Modelling","Model Lifecycle Governance","AI Governance","RAG Pipelines","Agentic AI Workflows","NLP Pipelines","Unstructured Data Handling","Structured Data Governance","End-to-end Pipelines","Agile\u002FScrum",1,{"id":64,"slug":65,"title":66,"raw_title":11,"is_featured":12,"company":67,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":70,"processed_country_iso_code_gmaps":72,"processed_home_office":21,"processed_salary_min":74,"processed_salary_max":75,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":76,"processed_employment_types":28,"processed_it_skills":77,"processed_it_skills_labels":79,"processed_job_expertise_skills":90,"processed_job_expertise_skills_labels":91,"max_cpc":62,"actual_cpc":107},69476,"data-scientist-genai-llms-bcobilbao-vizcaya-argentaria","Data Scientist GenAI (LLMs)",{"name":68,"slug":69,"logo_url":11},"BCO.BILBAO VIZCAYA ARGENTARIA","bcobilbao-vizcaya-argentaria",[71],"Madrid",[73],"ES",60000,90000,[27],{"aws":5,"azure":5,"numpy":30,"docker":5,"pandas":30,"python":30,"pyspark":78,"pytorch":78,"langchain":5,"langgraph":5,"kubernetes":5,"tensorflow":78,"google cloud":5,"scikit-learn":30,"huggingface transformers":78},3,[32,80,81,82,83,35,34,37,39,84,85,86,87,88,89],"Pandas","NumPy","scikit-learn","PySpark","LangGraph","AWS","Google Cloud","Azure","Docker","Kubernetes",{"ethical ai":78,"a\u002Fb testing":78,"data analysis":30,"cloud computing":5,"causal inference":5,"fine-tuning llms":30,"machine learning":30,"ai risk assessment":30,"model optimization":30,"prompt engineering":30,"statistical modeling":30,"embedding elicitation":30,"data lifecycle management":30,"large language models (llms)":30,"data privacy laws (gdpr, ccpa)":78},[92,93,94,95,96,97,98,99,100,101,102,103,104,105,106],"Statistical Modeling","Machine Learning","Large Language Models (LLMs)","Fine-tuning LLMs","Prompt Engineering","Embedding Elicitation","Model Optimization","Data Analysis","Data Lifecycle Management","AI Risk Assessment","A\u002FB Testing","Ethical AI","Data Privacy Laws (GDPR, CCPA)","Causal Inference","Cloud Computing",0.5,{"industry":109,"employment_type":116,"expertise_skills":119,"it_skills":177,"salary_currency":239,"processed_working_hours":241},[110,113],{"key":111,"label":112,"count":62},"banking","Banking",{"key":114,"label":115,"count":62},"financial services","Financial Services",[117],{"key":28,"label":118,"count":5},"PERMANENT",[120,123,126,128,131,134,137,139,141,143,146,148,150,152,154,156,158,160,163,165,168,170,172,175],{"key":121,"label":122,"slug":121,"count":62},"ai-governance","Ai Governance",{"key":124,"label":125,"slug":124,"count":62},"agentic-ai-workflows","Agentic Ai Workflows",{"key":127,"label":59,"slug":127,"count":62},"structured-data-governance",{"key":129,"label":130,"slug":129,"count":62},"ethical-ai","Ethical Ai",{"key":132,"label":133,"slug":132,"count":62},"nlp-pipelines","Nlp Pipelines",{"key":135,"label":136,"slug":135,"count":62},"large-language-models-llms","Large Language Models (Llms)",{"key":138,"label":52,"slug":138,"count":62},"credit-risk-modelling",{"key":140,"label":51,"slug":140,"count":62},"risk-management",{"key":142,"label":58,"slug":142,"count":62},"unstructured-data-handling",{"key":144,"label":145,"slug":144,"count":62},"rag-pipelines","Rag Pipelines",{"key":147,"label":96,"slug":147,"count":62},"prompt-engineering",{"key":149,"label":102,"slug":149,"count":62},"ab-testing",{"key":151,"label":105,"slug":151,"count":62},"causal-inference",{"key":153,"label":98,"slug":153,"count":62},"model-optimization",{"key":155,"label":106,"slug":155,"count":62},"cloud-computing",{"key":157,"label":61,"slug":157,"count":62},"agilescrum",{"key":159,"label":99,"slug":159,"count":62},"data-analysis",{"key":161,"label":162,"slug":161,"count":62},"end-to-end-pipelines","End-To-End Pipelines",{"key":164,"label":97,"slug":164,"count":62},"embedding-elicitation",{"key":166,"label":167,"slug":166,"count":62},"ai-risk-assessment","Ai Risk Assessment",{"key":169,"label":100,"slug":169,"count":62},"data-lifecycle-management",{"key":171,"label":93,"slug":171,"count":62},"machine-learning",{"key":173,"label":174,"slug":173,"count":62},"fine-tuning-llms","Fine-Tuning Llms",{"key":176,"label":92,"slug":176,"count":62},"statistical-modeling",[178,180,183,186,189,192,195,197,200,202,204,207,209,211,214,217,219,222,224,227,230,232,234,237],{"key":179,"label":32,"slug":179,"count":5},"python",{"key":181,"label":182,"slug":181,"count":5},"langchain","Langchain",{"key":184,"label":185,"slug":184,"count":5},"pytorch","Pytorch",{"key":187,"label":188,"slug":187,"count":5},"tensorflow","Tensorflow",{"key":190,"label":191,"slug":190,"count":5},"huggingface-transformers","Huggingface Transformers",{"key":193,"label":194,"slug":193,"count":62},"pyspark","Pyspark",{"key":196,"label":47,"slug":196,"count":62},"git",{"key":198,"label":199,"slug":198,"count":62},"numpy","Numpy",{"key":201,"label":80,"slug":201,"count":62},"pandas",{"key":203,"label":89,"slug":203,"count":62},"kubernetes",{"key":205,"label":206,"slug":205,"count":62},"aws","Aws",{"key":82,"label":208,"slug":82,"count":62},"Scikit-Learn",{"key":210,"label":42,"slug":210,"count":62},"vertex-search",{"key":212,"label":213,"slug":212,"count":62},"ms-azure","MS Azure",{"key":215,"label":216,"slug":215,"count":62},"langgraph","Langgraph",{"key":218,"label":33,"slug":218,"count":62},"sql",{"key":220,"label":221,"slug":220,"count":62},"vertex-ai","Vertex Ai",{"key":223,"label":48,"slug":223,"count":62},"pipelines",{"key":225,"label":226,"slug":225,"count":62},"sas","Sas",{"key":228,"label":229,"slug":228,"count":62},"llamaindex","Llamaindex",{"key":231,"label":43,"slug":231,"count":62},"google-cloud-platform",{"key":233,"label":86,"slug":233,"count":62},"google-cloud",{"key":235,"label":236,"slug":235,"count":62},"faiss","Faiss",{"key":238,"label":88,"slug":238,"count":62},"docker",[240],{"key":24,"label":24,"count":5},[242],{"key":27,"label":27,"count":5},{"total":62,"jobs":244},[245],{"id":246,"slug":247,"title":248,"raw_title":11,"is_featured":249,"company":250,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":254,"processed_country_iso_code_gmaps":256,"processed_home_office":258,"processed_salary_min":259,"processed_salary_max":260,"processed_salary_currency":24,"processed_salary_source":11,"processed_working_hours":261,"processed_employment_types":118,"processed_it_skills":263,"processed_it_skills_labels":11,"processed_job_expertise_skills":264,"processed_job_expertise_skills_labels":265,"max_cpc":272,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":251,"slug":252,"logo_url":253},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[255],"Frankfurt am Main",[257],"DE","HYBRID",45000,65000,[262],"full_time",{},{"Financial Analysis":78,"Regulatory Compliance":78,"New Customer Acquisition":78,"Private Banking Advisory":78,"Banking Products Knowledge":78,"Customer Relationship Management":78},[266,267,268,269,270,271],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]