[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-pytorch-global":3,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fpytorch?page=4":4,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fpytorch?page=4":570,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fpytorch?page=4":784},{},{"total":5,"jobs":6},87,[7,63,108,149,178,218,249,274,307,333,355,383,413,431,447,482,501,518,529,547],{"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":44,"processed_job_expertise_skills_labels":46,"max_cpc":62,"actual_cpc":62},59941,"data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch-2","Data Scientist",null,false,{"name":14,"slug":15,"logo_url":11},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[17],"Taguig",[19],"PH","onsite",50000,70000,"PHP","estimated",[26],"FULL_TIME","permanent",{"r":29,"aws":29,"git":29,"sql":29,"azure":29,"ci\u002Fcd":29,"numpy":30,"pandas":30,"python":30,"pytorch":29,"tensorflow":29,"scikit-learn":30},3,4,[32,33,34,35,36,37,38,39,40,41,42,43],"Python","SQL","R","TensorFlow","PyTorch","Git","CI\u002FCD","AWS","Azure","Pandas","NumPy","Scikit-learn",{"nlp":30,"rag":30,"llms":30,"mlops":29,"statistics":30,"web scraping":29,"deep learning":30,"data analytics":30,"data management":29,"entity extraction":29,"data visualization":29,"financial services":29,"investment banking":45,"feature engineering":30,"predictive modelling":30},2,[47,48,49,50,51,52,53,54,55,56,57,58,59,60,61],"Data Analytics","Feature Engineering","Predictive Modelling","NLP","LLMs","RAG","Deep Learning","Statistics","MLOps","Web Scraping","Entity Extraction","Data Management","Financial Services","Investment Banking","Data Visualization",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":74,"processed_salary_min":75,"processed_salary_max":76,"processed_salary_currency":77,"processed_salary_source":24,"processed_working_hours":78,"processed_employment_types":27,"processed_it_skills":79,"processed_it_skills_labels":80,"processed_job_expertise_skills":92,"processed_job_expertise_skills_labels":93,"max_cpc":62,"actual_cpc":62},59526,"data-science-manager-gbr006-refinitiv-limited","Data Science Manager",{"name":68,"slug":69,"logo_url":11},"Refinitiv Limited","refinitiv-limited",[71],"London",[73],"GB","hybrid",120000,180000,"EUR",[26],{"ci\u002Fcd":29,"devops":29,"python":30,"pytorch":30,"langchain":30,"kubernetes":29,"tensorflow":30,"azure openai":30,"hugging face":30,"scikit-learn":30,"aws ai services":30,"azure ai search":30,"semantic kernel":30,"azure ai foundry":30,"azure machine learning":30},[32,36,35,81,82,83,84,85,86,87,88,89,90,38,91],"Scikit-Learn","Hugging Face","LangChain","Semantic Kernel","Azure AI Foundry","Azure Machine Learning","Azure OpenAI","Azure AI Search","AWS AI Services","Kubernetes","DevOps",{"rag":30,"llms":30,"mlops":30,"llmops":30,"agentic ai":30,"statistics":30,"probability":30,"optimization":30,"transformers":30,"deep learning":30,"generative ai":30,"responsible ai":30,"capital markets":29,"experimentation":30,"machine learning":30,"model evaluation":30,"model governance":30,"financial services":29,"product management":29,"project management":29},[94,53,51,95,52,96,97,54,98,99,100,55,101,102,103,104,59,105,106,107],"Machine Learning","Generative AI","Agentic AI","Transformers","Probability","Optimization","Experimentation","LLMOps","Model Evaluation","Model Governance","Responsible AI","Capital Markets","Product Management","Project Management",{"id":109,"slug":110,"title":111,"raw_title":11,"is_featured":12,"company":112,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":115,"processed_country_iso_code_gmaps":117,"processed_home_office":74,"processed_salary_min":119,"processed_salary_max":120,"processed_salary_currency":121,"processed_salary_source":24,"processed_working_hours":122,"processed_employment_types":27,"processed_it_skills":123,"processed_it_skills_labels":124,"processed_job_expertise_skills":137,"processed_job_expertise_skills_labels":138,"max_cpc":62,"actual_cpc":62},83637,"senior-engineer-artificial-intelligence-government-employees-insurance-company-2","Senior Engineer - Artificial Intelligence",{"name":113,"slug":114,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[116],"Bethesda",[118],"US",105000,215000,"USD",[26],{"aws":29,"c++":29,"gcp":29,"sql":29,"java":29,"azure":29,"nosql":29,"docker":29,"python":30,"pytorch":29,"rest apis":29,"kubernetes":29,"powershell":29,"tensorflow":29,"continuous delivery":29,"infrastructure as code":29,"microsoft dynamics crm":29,"microsoft power platform":29,"application monitoring tools":29},[32,33,125,126,90,40,35,36,127,128,129,130,131,132,39,133,134,135,136],"NoSQL","Docker","Java","C++","Microsoft Dynamics CRM","Microsoft Power Platform","REST APIs","PowerShell","GCP","Infrastructure as Code","Continuous Delivery","Application Monitoring Tools",{"crm systems":29,"cloud computing":30,"speech recognition":29,"distributed systems":30,"software architecture":30,"ai\u002Fml model deployment":30,"intelligent automation":29,"recommendation systems":29,"microservices architecture":30,"natural language processing":29},[139,140,141,142,143,144,145,146,147,148],"AI\u002FML model deployment","Distributed systems","Software architecture","Microservices architecture","Cloud computing","Natural Language Processing","Speech Recognition","Recommendation Systems","Intelligent Automation","CRM systems",{"id":150,"slug":151,"title":152,"raw_title":11,"is_featured":12,"company":153,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":156,"processed_country_iso_code_gmaps":158,"processed_home_office":20,"processed_salary_min":160,"processed_salary_max":161,"processed_salary_currency":121,"processed_salary_source":24,"processed_working_hours":162,"processed_employment_types":27,"processed_it_skills":163,"processed_it_skills_labels":164,"processed_job_expertise_skills":165,"processed_job_expertise_skills_labels":166,"max_cpc":62,"actual_cpc":62},59748,"senior-data-scientist-ind201-refinitiv-india-shared-services-private-limited","Senior Data Scientist",{"name":154,"slug":155,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[157],"Bengaluru",[159],"IN",90000,130000,[26],{"r":29,"aws":30,"git":29,"sql":29,"azure":29,"ci\u002Fcd":29,"mlops":29,"python":30,"pytorch":30,"tensorflow":30,"scikit-learn":30},[32,34,33,35,36,43,37,38,39,40,55],{"web crawling":29,"deep learning":30,"data analytics":30,"financial data":29,"product vision":30,"cloud platforms":30,"data management":29,"coding standards":29,"machine learning":30,"entity extraction":29,"prompt engineering":30,"feature engineering":30,"predictive modeling":30,"statistical analysis":30,"evaluation frameworks":29,"large language models":30,"natural language processing":30,"retrieval-augmented generation":30},[47,48,167,168,144,169,170,171,53,94,172,57,58,173,174,175,176,177],"Predictive Modeling","Statistical Analysis","Large Language Models","Prompt Engineering","Retrieval-Augmented Generation","Web Crawling","Financial Data","Product Vision","Coding Standards","Evaluation Frameworks","Cloud Platforms",{"id":179,"slug":180,"title":181,"raw_title":11,"is_featured":12,"company":182,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":185,"processed_country_iso_code_gmaps":187,"processed_home_office":20,"processed_salary_min":189,"processed_salary_max":190,"processed_salary_currency":191,"processed_salary_source":24,"processed_working_hours":192,"processed_employment_types":27,"processed_it_skills":193,"processed_it_skills_labels":194,"processed_job_expertise_skills":203,"processed_job_expertise_skills_labels":204,"max_cpc":62,"actual_cpc":62},66870,"software-engineer-iii-ai-integration-the-toronto-dominion-bank-canada","Software Engineer III (AI Integration)",{"name":183,"slug":184,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[186],"Toronto",[188],"CA",125500,154000,"CAD",[26],{"aws":30,"gcp":30,"sql":29,"azure":30,"ci\u002Fcd":30,"numpy":30,"spark":29,"docker":30,"mlflow":29,"pandas":30,"python":30,"airflow":29,"pytorch":30,"kubeflow":29,"langchain":30,"langsmith":29,"kubernetes":30,"tensorflow":30,"openai apis":30,"rag systems":29,"scikit-learn":30,"vector databases":29},[32,33,195,41,42,43,36,35,83,196,197,198,199,200,126,90,39,133,40,38,201,202],"Spark","LangSmith","OpenAI APIs","MLflow","Kubeflow","Airflow","Vector databases","RAG systems",{"nlp":30,"llms":30,"security":29,"algorithms":30,"prototyping":29,"data quality":29,"deep learning":30,"microservices":30,"api development":30,"data governance":29,"data structures":30,"experimentation":29,"machine learning":30,"model deployment":30,"model monitoring":30,"data preprocessing":30,"feature engineering":30,"regulated industries":29,"software engineering":30},[94,53,51,50,205,48,206,207,208,209,210,211,212,213,214,215,216,100,217],"Data Preprocessing","Model Deployment","Model Monitoring","Data Quality","Data Governance","Security","Software Engineering","Data Structures","Algorithms","Microservices","API Development","Prototyping","Regulated Industries",{"id":219,"slug":220,"title":221,"raw_title":11,"is_featured":12,"company":222,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":225,"processed_country_iso_code_gmaps":227,"processed_home_office":20,"processed_salary_min":228,"processed_salary_max":229,"processed_salary_currency":230,"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":241,"processed_job_expertise_skills_labels":242,"max_cpc":62,"actual_cpc":62},51809,"senior-associate-data-scientist-tiaa-global-capabilities-private-limited","Senior Associate - Data Scientist",{"name":223,"slug":224,"logo_url":11},"TIAA Global Capabilities Private Limited","tiaa-global-capabilities-private-limited",[226],"Pune",[159],2000000,3500000,"INR",[26],{"sql":30,"keras":30,"spark":29,"mlflow":29,"python":30,"pytorch":30,"tableau":29,"xgboost":30,"snowflake":29,"databricks":29,"tensorflow":30,"scikit-learn":30,"aws sagemaker":29},[32,33,35,234,36,235,236,237,195,238,198,239,240],"Keras","scikit-learn","XGBoost","Databricks","Snowflake","AWS SageMaker","Tableau",{"statistics":30,"programming":30,"optimization":30,"deep learning":30,"llm knowledge":29,"pattern mining":30,"user profiling":30,"machine learning":30,"data preprocessing":30,"prompt engineering":29,"predictive modeling":30,"recommender systems":30,"market\u002Findustry dynamics":29},[94,53,205,167,54,243,244,99,245,246,247,248,170],"Programming","Market\u002FIndustry Dynamics","Pattern Mining","Recommender Systems","User Profiling","LLM Knowledge",{"id":250,"slug":251,"title":10,"raw_title":11,"is_featured":12,"company":252,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":255,"processed_country_iso_code_gmaps":257,"processed_home_office":20,"processed_salary_min":259,"processed_salary_max":260,"processed_salary_currency":261,"processed_salary_source":24,"processed_working_hours":262,"processed_employment_types":27,"processed_it_skills":263,"processed_it_skills_labels":264,"processed_job_expertise_skills":268,"processed_job_expertise_skills_labels":269,"max_cpc":62,"actual_cpc":62},59985,"data-scientist-pol007-refinitiv-poland-spoka-z-oo",{"name":253,"slug":254,"logo_url":11},"Refinitiv Poland Spółka z o.o.","refinitiv-poland-spoka-z-oo",[256],"Gdynia",[258],"PL",142900,226100,"PLN",[26],{"r":29,"aws":29,"git":29,"sql":29,"azure":29,"ci\u002Fcd":29,"numpy":30,"pandas":30,"python":30,"jupyter":30,"pytorch":29,"tensorflow":29,"scikit-learn":30},[32,34,33,235,265,266,267,35,36,37,38,39,40],"numpy","pandas","jupyter",{"nlp":30,"rag":30,"llms":30,"mlops":29,"statistics":30,"web scraping":29,"data handling":30,"deep learning":30,"data analytics":30,"data processing":30,"machine learning":30,"model evaluation":30,"entity extraction":29,"data visualization":29,"database management":29,"feature engineering":30,"predictive modelling":30,"fixed income reference data":29},[94,53,50,51,52,54,47,48,49,102,61,56,57,55,270,271,272,273],"Data Processing","Data Handling","Database Management","Fixed Income Reference Data",{"id":275,"slug":276,"title":277,"raw_title":11,"is_featured":12,"company":278,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":282,"processed_country_iso_code_gmaps":284,"processed_home_office":20,"processed_salary_min":285,"processed_salary_max":286,"processed_salary_currency":230,"processed_salary_source":24,"processed_working_hours":287,"processed_employment_types":27,"processed_it_skills":288,"processed_it_skills_labels":289,"processed_job_expertise_skills":297,"processed_job_expertise_skills_labels":298,"max_cpc":62,"actual_cpc":62},51580,"python-developer-annet-technologies-mumbai-llp","Python Developer",{"name":279,"slug":280,"logo_url":281},"Annet Technologies (Mumbai) LLP","annet-technologies-mumbai-llp","https:\u002F\u002Fwww.apexgroup.com\u002Fmedia\u002Fl05krqrh\u002Fapex-logo.svg",[283],"Mumbai",[159],1200000,2500000,[26],{"aws":45,"css":45,"sql":29,"html":45,"azure":45,"nosql":29,"numpy":29,"scipy":29,"django":29,"pandas":29,"python":30,"pyramid":29,"pytorch":29,"javascript":45,"google cloud":45},[32,42,41,290,36,291,292,293,33,125,294,295,296,39,40],"SciPy","HTML","CSS","JavaScript","Django","Pyramid","Google Cloud",{"debugging":29,"code review":29,"data science":29,"data engineering":30,"machine learning":29,"back-end development":30,"feature prioritization":29,"artificial intelligence":29,"software development lifecycle":30},[299,300,301,302,303,304,94,305,306],"Software Development Lifecycle","Data Engineering","Back-end Development","Code Review","Debugging","Feature Prioritization","Data Science","Artificial Intelligence",{"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":160,"processed_salary_max":161,"processed_salary_currency":317,"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":326,"processed_job_expertise_skills_labels":327,"max_cpc":62,"actual_cpc":62},62249,"avp-credit-risk-data-scientist-credit-risk-modelling-ocbc-bank","AVP, Credit Risk Data Scientist, Credit Risk Modelling",{"name":312,"slug":313,"logo_url":11},"OCBC Bank","ocbc-bank",[],[316],"SG","SGD",[26],{"git":45,"sql":29,"hive":29,"jira":45,"spark":29,"trino":29,"hadoop":29,"python":30,"jenkins":45,"pytorch":30,"tensorflow":30,"scikit-learn":30},[32,33,321,322,323,195,324,325,37,81,35,36],"Hadoop","Hive","Trino","Jira","Jenkins",{"data analysis":30,"risk management":30,"machine learning":30,"model governance":29,"model validation":29,"project management":29,"credit risk modelling":30,"regulatory compliance":29},[328,94,329,330,103,331,332,107],"Credit Risk Modelling","Data Analysis","Model Validation","Regulatory Compliance","Risk Management",{"id":334,"slug":335,"title":336,"raw_title":11,"is_featured":12,"company":337,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":338,"processed_country_iso_code_gmaps":340,"processed_home_office":74,"processed_salary_min":341,"processed_salary_max":342,"processed_salary_currency":121,"processed_salary_source":24,"processed_working_hours":343,"processed_employment_types":27,"processed_it_skills":344,"processed_it_skills_labels":345,"processed_job_expertise_skills":346,"processed_job_expertise_skills_labels":347,"max_cpc":62,"actual_cpc":62},83795,"staff-engineer-ivr-government-employees-insurance-company","Staff Engineer - IVR",{"name":113,"slug":114,"logo_url":11},[339],"Palo Alto",[118],115000,230000,[26],{"aws":29,"c++":29,"gcp":29,"sql":29,"java":29,"azure":29,"nosql":29,"docker":29,"python":30,"pytorch":29,"rest apis":29,"kubernetes":29,"powershell":45,"tensorflow":29,"microservices":29,"continuous delivery":29,"infrastructure as code":29,"application monitoring tools":29},[32,33,125,126,90,40,35,36,127,128,132,131,214,39,133,134,135,136],{"ivr systems":29,"system design":30,"cloud computing":30,"speech recognition":29,"distributed systems":30,"multi-agent systems":29,"software architecture":30,"ai\u002Fml model deployment":30,"intelligent automation":29,"recommendation systems":29,"natural language processing":29,"software development life cycle":30},[139,140,141,348,143,144,349,350,351,352,353,354],"System design","Speech recognition","Recommendation systems","Intelligent automation","Multi-agent systems","IVR systems","Software development life cycle",{"id":356,"slug":357,"title":358,"raw_title":11,"is_featured":12,"company":359,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":363,"processed_country_iso_code_gmaps":365,"processed_home_office":74,"processed_salary_min":366,"processed_salary_max":367,"processed_salary_currency":261,"processed_salary_source":24,"processed_working_hours":368,"processed_employment_types":27,"processed_it_skills":369,"processed_it_skills_labels":370,"processed_job_expertise_skills":377,"processed_job_expertise_skills_labels":378,"max_cpc":62,"actual_cpc":62},47407,"risk-ai-data-scientist-ing-hubs-bv-sp-z-oo-oddzia-w-polsce","Risk AI Data Scientist",{"name":360,"slug":361,"logo_url":362},"ING Hubs B.V. sp. z o.o. Oddzial w Polsce","ing-hubs-bv-sp-z-oo-oddzial-w-polsce","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[364],"Warszawa",[258],13000,22000,[26],{"git":29,"sas":45,"sql":29,"faiss":29,"python":30,"pytorch":29,"langchain":29,"vertex ai":29,"llamaindex":29,"tensorflow":29,"huggingface":29,"azure devops":29},[32,33,36,35,371,83,372,373,374,375,37,376],"HuggingFace","LlamaIndex","FAISS","Vertex AI","Azure DevOps","SAS",{"nlp":30,"data governance":29,"risk management":30,"agentic workflows":30,"rag pipeline design":30,"credit risk modelling":30,"model lifecycle governance":29,"large-scale unstructured data":29},[332,328,379,380,50,381,209,382],"Model Lifecycle Governance","RAG Pipeline Design","Agentic Workflows","Large-scale Unstructured Data",{"id":384,"slug":385,"title":386,"raw_title":11,"is_featured":12,"company":387,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":390,"processed_country_iso_code_gmaps":392,"processed_home_office":20,"processed_salary_min":160,"processed_salary_max":393,"processed_salary_currency":317,"processed_salary_source":24,"processed_working_hours":394,"processed_employment_types":27,"processed_it_skills":395,"processed_it_skills_labels":396,"processed_job_expertise_skills":403,"processed_job_expertise_skills_labels":404,"max_cpc":62,"actual_cpc":62},47973,"machine-learning-engineer-ch10-bjb-bank-julius-baer-amp-co-ltd-2","Machine Learning Engineer",{"name":388,"slug":389,"logo_url":11},"Bank Julius Baer & Co. Ltd.","bank-julius-baer-co-ltd",[391],"Singapore",[316],150000,[26],{"python":30,"pytorch":29,"testing":29,"tensorflow":29,"documentation":29,"version control":29,"deep learning frameworks":29,"machine learning libraries":29,"llm orchestration frameworks":29},[32,35,36,397,398,399,400,401,402],"Machine Learning Libraries","Deep Learning Frameworks","LLM Orchestration Frameworks","Version Control","Testing","Documentation",{"rag systems":30,"ai solutions":30,"model selection":30,"machine learning":30,"model evaluation":30,"data preprocessing":30,"prompt engineering":30,"feature engineering":30,"multi-agent systems":30,"statistical concepts":30,"function\u002Ftool-calling":30,"mathematical concepts":30,"software development best practices":30},[94,405,406,407,408,102,170,205,48,409,410,411,412],"AI Solutions","Multi-agent Systems","Function\u002FTool-calling","RAG Systems","Model Selection","Statistical Concepts","Mathematical Concepts","Software Development Best Practices",{"id":414,"slug":415,"title":386,"raw_title":11,"is_featured":12,"company":416,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":417,"processed_country_iso_code_gmaps":418,"processed_home_office":20,"processed_salary_min":160,"processed_salary_max":393,"processed_salary_currency":317,"processed_salary_source":24,"processed_working_hours":419,"processed_employment_types":27,"processed_it_skills":420,"processed_it_skills_labels":421,"processed_job_expertise_skills":424,"processed_job_expertise_skills_labels":425,"max_cpc":62,"actual_cpc":62},47972,"machine-learning-engineer-ch10-bjb-bank-julius-baer-amp-co-ltd",{"name":388,"slug":389,"logo_url":11},[391],[316],[26],{"python":30,"pytorch":29,"testing":29,"tensorflow":29,"documentation":29,"version control":29,"llm orchestration frameworks":29},[32,35,36,422,423,401,402],"LLM orchestration frameworks","Version control",{"ai agents":30,"statistics":29,"rag systems":30,"data science":30,"optimization":29,"linear algebra":29,"machine learning":30,"model evaluation":30,"data preprocessing":29,"feature engineering":29,"large language models":30},[94,305,169,426,202,427,428,429,54,430,99],"AI agents","Model evaluation","Data preprocessing","Feature engineering","Linear algebra",{"id":432,"slug":433,"title":434,"raw_title":11,"is_featured":12,"company":435,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":436,"processed_country_iso_code_gmaps":437,"processed_home_office":20,"processed_salary_min":438,"processed_salary_max":285,"processed_salary_currency":230,"processed_salary_source":24,"processed_working_hours":439,"processed_employment_types":27,"processed_it_skills":440,"processed_it_skills_labels":441,"processed_job_expertise_skills":443,"processed_job_expertise_skills_labels":444,"max_cpc":62,"actual_cpc":62},44401,"software-programmer-annet-technologies-mumbai-llp","Software Programmer",{"name":279,"slug":280,"logo_url":281},[283],[159],600000,[26],{"aws":45,"css":45,"sql":29,"html":45,"azure":45,"nosql":29,"numpy":29,"scipy":29,"django":45,"pandas":29,"python":30,"pyramid":45,"pytorch":29,"openpyxl":29,"javascript":45,"google cloud":45},[32,42,41,290,36,442,291,292,293,33,125,294,295,296,39,40],"Openpyxl",{"sdlc":29,"testing":29,"debugging":29,"code review":29,"data engineering":29,"machine learning":29,"software development":30},[445,300,94,302,401,303,446],"Software Development","SDLC",{"id":448,"slug":449,"title":450,"raw_title":11,"is_featured":12,"company":451,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":452,"processed_country_iso_code_gmaps":453,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":230,"processed_salary_source":24,"processed_working_hours":454,"processed_employment_types":27,"processed_it_skills":455,"processed_it_skills_labels":456,"processed_job_expertise_skills":470,"processed_job_expertise_skills_labels":471,"max_cpc":62,"actual_cpc":62},59618,"ai-data-engineer-ind201-refinitiv-india-shared-services-private-limited","AI Data Engineer",{"name":154,"slug":155,"logo_url":11},[157],[159],[26],{"aws":30,"sql":30,"helm":29,"redis":30,"docker":30,"mlflow":29,"pandas":30,"python":30,"fastapi":30,"jenkins":29,"node.js":29,"pyspark":29,"pytorch":30,"xgboost":30,"langchain":30,"snowflake":30,"terraform":29,"clickhouse":30,"kubernetes":30,"llamaindex":30,"openai api":30,"postgresql":30,"apache kafka":30,"scikit-learn":30,"anthropic api":30,"elasticsearch":30,"github actions":29},[32,457,33,458,459,238,460,461,462,126,90,463,464,39,465,325,466,41,467,198,43,236,36,83,372,468,469],"Node.js","ClickHouse","PostgreSQL","Elasticsearch","Redis","Apache Kafka","Terraform","Helm","GitHub Actions","PySpark","FastAPI","OpenAI API","Anthropic API",{"ci\u002Fcd":30,"mentoring":29,"observability":30,"rag pipelines":30,"system design":30,"on-call support":29,"data engineering":30,"fine-tuning llms":29,"prompt engineering":29,"technical code reviews":29,"financial data experience":29,"llm application development":30,"machine learning engineering":30},[300,472,473,474,170,475,476,38,477,478,479,480,481],"Machine Learning Engineering","LLM Application Development","RAG Pipelines","Fine-tuning LLMs","System Design","Observability","On-call Support","Mentoring","Technical Code Reviews","Financial Data Experience",{"id":483,"slug":484,"title":152,"raw_title":11,"is_featured":12,"company":485,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":488,"processed_country_iso_code_gmaps":490,"processed_home_office":20,"processed_salary_min":438,"processed_salary_max":492,"processed_salary_currency":493,"processed_salary_source":24,"processed_working_hours":494,"processed_employment_types":27,"processed_it_skills":495,"processed_it_skills_labels":496,"processed_job_expertise_skills":497,"processed_job_expertise_skills_labels":498,"max_cpc":62,"actual_cpc":62},59442,"senior-data-scientist-chn020-refinitiv-information-services-china-co-ltd-shenzhen-branch",{"name":486,"slug":487,"logo_url":11},"Refinitiv Information Services (China) Co., Ltd. - Shenzhen Branch","refinitiv-information-services-china-co-ltd-shenzhen-branch",[489],"Shenzhen",[491],"CN",900000,"CNY",[26],{"r":29,"aws":29,"git":29,"sql":29,"azure":29,"python":30,"pytorch":30,"tensorflow":30,"scikit-learn":30},[32,33,35,36,43,37,39,40,34],{"ci\u002Fcd":29,"mlops":29,"scraping":29,"probability":30,"web crawling":29,"deep learning":30,"data analytics":30,"financial data":29,"product vision":29,"data management":29,"coding standards":29,"entity extraction":29,"applied statistics":30,"prompt engineering":30,"feature engineering":30,"predictive modeling":30,"statistical analysis":30,"evaluation frameworks":29,"large language models":30,"natural language processing":30,"retrieval-augmented generation":30},[47,144,53,169,170,171,48,167,168,98,499,55,38,172,500,57,58,173,174,175,176],"Applied Statistics","Scraping",{"id":502,"slug":503,"title":504,"raw_title":11,"is_featured":12,"company":505,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":508,"processed_country_iso_code_gmaps":509,"processed_home_office":20,"processed_salary_min":75,"processed_salary_max":76,"processed_salary_currency":317,"processed_salary_source":24,"processed_working_hours":510,"processed_employment_types":27,"processed_it_skills":511,"processed_it_skills_labels":512,"processed_job_expertise_skills":513,"processed_job_expertise_skills_labels":514,"max_cpc":62,"actual_cpc":62},52087,"vp-data-scientist-enterprise-ai-innovation-group-united-overseas-bank-ltd","VP, Data Scientist, Enterprise AI, Innovation Group",{"name":506,"slug":507,"logo_url":11},"United Overseas Bank Ltd","united-overseas-bank-ltd",[391],[316],[26],{"python":30,"pytorch":30,"langchain":30,"data visualization":29},[32,36,83,61],{"research":30,"data science":30,"deep learning":30,"llm deployment":30,"machine learning":30,"agile project management":29},[305,94,53,515,516,517],"LLM Deployment","Agile Project Management","Research",{"id":519,"slug":520,"title":152,"raw_title":11,"is_featured":12,"company":521,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":522,"processed_country_iso_code_gmaps":523,"processed_home_office":20,"processed_salary_min":160,"processed_salary_max":161,"processed_salary_currency":121,"processed_salary_source":24,"processed_working_hours":524,"processed_employment_types":27,"processed_it_skills":525,"processed_it_skills_labels":526,"processed_job_expertise_skills":527,"processed_job_expertise_skills_labels":528,"max_cpc":62,"actual_cpc":62},59970,"senior-data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch-2",{"name":14,"slug":15,"logo_url":11},[17],[19],[26],{"r":29,"aws":30,"git":29,"sql":29,"azure":29,"ci\u002Fcd":29,"python":30,"pytorch":30,"tensorflow":30,"scikit-learn":30},[32,34,33,35,36,43,37,38,39,40],{"nlp":30,"rag":30,"llms":30,"mlops":29,"scraping":29,"probability":30,"web crawling":29,"data analytics":30,"financial data":29,"product vision":29,"cloud platforms":30,"data management":29,"data processing":29,"coding standards":29,"entity extraction":29,"applied statistics":30,"feature engineering":30,"predictive modelling":30,"statistical analysis":30,"evaluation frameworks":29},[47,48,50,49,51,52,168,98,499,55,58,172,500,57,270,173,174,175,176,177],{"id":530,"slug":531,"title":152,"raw_title":11,"is_featured":12,"company":532,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":535,"processed_country_iso_code_gmaps":537,"processed_home_office":20,"processed_salary_min":160,"processed_salary_max":161,"processed_salary_currency":121,"processed_salary_source":24,"processed_working_hours":538,"processed_employment_types":27,"processed_it_skills":539,"processed_it_skills_labels":540,"processed_job_expertise_skills":541,"processed_job_expertise_skills_labels":542,"max_cpc":62,"actual_cpc":62},59451,"senior-data-scientist-chn010-refinitiv-technology-china-co-ltd",{"name":533,"slug":534,"logo_url":11},"Refinitiv Technology China Co., Ltd.","refinitiv-technology-china-co-ltd",[536],"Hai Dian Qu",[491],[26],{"r":29,"aws":30,"git":29,"sql":29,"azure":29,"ci\u002Fcd":29,"mlops":29,"python":30,"pytorch":30,"tensorflow":30,"scikit-learn":30},[32,33,34,35,36,43,37,39,40,38,55],{"data science":30,"web crawling":29,"data pipeline":29,"deep learning":30,"data analytics":30,"product vision":29,"cloud platforms":30,"data management":29,"coding standards":29,"machine learning":30,"entity extraction":29,"prompt engineering":30,"feature engineering":30,"financial analytics":29,"predictive modeling":30,"relational databases":29,"statistical analysis":30,"evaluation frameworks":29,"large language models":30,"large-scale data processing":29,"natural language processing":30,"retrieval-augmented generation":30},[305,94,53,144,169,170,171,168,48,167,47,172,57,58,543,174,175,176,177,544,545,546],"Financial Analytics","Relational Databases","Large-scale Data Processing","Data Pipeline",{"id":548,"slug":549,"title":550,"raw_title":11,"is_featured":12,"company":551,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":554,"processed_country_iso_code_gmaps":556,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":557,"processed_salary_currency":230,"processed_salary_source":24,"processed_working_hours":558,"processed_employment_types":27,"processed_it_skills":559,"processed_it_skills_labels":560,"processed_job_expertise_skills":562,"processed_job_expertise_skills_labels":563,"max_cpc":62,"actual_cpc":569},67211,"staff-software-engineerdata-scientist-hartford-global-services-private-limited","Staff Software Engineer\u002FData Scientist",{"name":552,"slug":553,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[555],"Hyderabad",[159],80000,[26],{"git":29,"sql":29,"docker":45,"mlflow":45,"python":30,"pytorch":29,"azure ai":29,"langchain":45,"vertex ai":29,"tensorflow":29,"aws sagemaker":29},[32,33,36,35,37,126,374,239,561,83,198],"Azure AI",{"nlp":30,"ocr":45,"rag":30,"mlops":29,"deep learning":30,"generative ai":30,"responsible ai":29,"cloud computing":29,"data engineering":29,"document parsing":29,"machine learning":30,"model evaluation":30,"statistical modeling":30,"synthetic data generation":29},[94,564,53,50,95,52,300,55,102,565,566,567,568,104],"Statistical Modeling","Synthetic Data Generation","Cloud Computing","Document Parsing","OCR",0.5,{"industry":571,"employment_type":616,"expertise_skills":626,"it_skills":696,"salary_currency":761,"processed_working_hours":779},[572,575,579,583,587,591,595,598,601,604,607,610,613],{"key":573,"label":59,"count":574},"financial services",33,{"key":576,"label":577,"count":578},"insurance","Insurance",27,{"key":580,"label":581,"count":582},"banking","Banking",18,{"key":584,"label":585,"count":586},"financial markets infrastructure","Financial Markets Infrastructure",15,{"key":588,"label":589,"count":590},"data","Data",9,{"key":592,"label":593,"count":594},"data provider","Data Provider",6,{"key":596,"label":597,"count":30},"asset management","Asset Management",{"key":599,"label":600,"count":45},"private equity","Private Equity",{"key":602,"label":603,"count":45},"wealth management","Wealth Management",{"key":605,"label":606,"count":62},"management","Management",{"key":608,"label":609,"count":62},"technology services for financial institutions","Technology Services For Financial Institutions",{"key":611,"label":612,"count":62},"fund administration","Fund Administration",{"key":614,"label":615,"count":62},"middle office","Middle Office",[617,620,623],{"key":27,"label":618,"count":619},"PERMANENT",84,{"key":621,"label":622,"count":45},"student","STUDENT",{"key":624,"label":625,"count":62},"contract","CONTRACT",[627,630,633,637,640,642,646,649,651,653,656,660,663,667,670,672,675,677,680,683,685,687,690,694],{"key":628,"label":94,"slug":628,"count":629},"machine-learning",53,{"key":631,"label":53,"slug":631,"count":632},"deep-learning",32,{"key":634,"label":635,"slug":634,"count":636},"generative-ai","Generative Ai",20,{"key":638,"label":170,"slug":638,"count":639},"prompt-engineering",19,{"key":641,"label":144,"slug":641,"count":582},"natural-language-processing",{"key":643,"label":644,"slug":643,"count":645},"mlops","Mlops",17,{"key":647,"label":48,"slug":647,"count":648},"feature-engineering",16,{"key":650,"label":102,"slug":650,"count":648},"model-evaluation",{"key":652,"label":300,"slug":652,"count":586},"data-engineering",{"key":654,"label":305,"slug":654,"count":655},"data-science",14,{"key":657,"label":658,"slug":657,"count":659},"nlp","Nlp",13,{"key":661,"label":206,"slug":661,"count":662},"model-deployment",12,{"key":664,"label":665,"slug":664,"count":666},"ai-governance","Ai Governance",11,{"key":668,"label":54,"slug":668,"count":669},"statistics",10,{"key":671,"label":207,"slug":671,"count":669},"model-monitoring",{"key":673,"label":674,"slug":673,"count":669},"responsible-ai","Responsible Ai",{"key":676,"label":47,"slug":676,"count":669},"data-analytics",{"key":678,"label":679,"slug":678,"count":669},"llms","Llms",{"key":681,"label":682,"slug":681,"count":590},"reinforcement-learning","Reinforcement Learning",{"key":684,"label":209,"slug":684,"count":590},"data-governance",{"key":686,"label":566,"slug":686,"count":590},"cloud-computing",{"key":688,"label":689,"slug":688,"count":590},"rag","Rag",{"key":691,"label":692,"slug":691,"count":693},"distributed-systems","Distributed Systems",8,{"key":695,"label":169,"slug":695,"count":693},"large-language-models",[697,700,703,707,710,712,716,720,724,727,731,733,735,737,739,742,744,746,747,749,752,754,756,759],{"key":698,"label":699,"slug":698,"count":5},"pytorch","Pytorch",{"key":701,"label":32,"slug":701,"count":702},"python",85,{"key":704,"label":705,"slug":704,"count":706},"tensorflow","Tensorflow",73,{"key":708,"label":33,"slug":708,"count":709},"sql",60,{"key":235,"label":81,"slug":235,"count":711},48,{"key":713,"label":714,"slug":713,"count":715},"aws","Aws",40,{"key":717,"label":718,"slug":717,"count":719},"ms-azure","MS Azure",36,{"key":721,"label":722,"slug":721,"count":723},"cicd","Ci\u002FCd",26,{"key":725,"label":90,"slug":725,"count":726},"kubernetes",23,{"key":728,"label":729,"slug":728,"count":730},"langchain","Langchain",22,{"key":732,"label":126,"slug":732,"count":730},"docker",{"key":734,"label":37,"slug":734,"count":730},"git",{"key":266,"label":41,"slug":266,"count":736},21,{"key":265,"label":738,"slug":265,"count":639},"Numpy",{"key":740,"label":741,"slug":740,"count":586},"gcp","Gcp",{"key":743,"label":127,"slug":743,"count":655},"java",{"key":745,"label":238,"slug":745,"count":655},"snowflake",{"key":643,"label":644,"slug":643,"count":659},{"key":748,"label":34,"slug":748,"count":662},"r",{"key":750,"label":751,"slug":750,"count":669},"langgraph","Langgraph",{"key":753,"label":82,"slug":753,"count":669},"hugging-face",{"key":755,"label":128,"slug":755,"count":669},"c",{"key":757,"label":758,"slug":757,"count":669},"aws-sagemaker","Aws Sagemaker",{"key":760,"label":195,"slug":760,"count":590},"spark",[762,763,764,765,766,767,769,771,773,774,776,778],{"key":121,"label":121,"count":726},{"key":230,"label":230,"count":639},{"key":77,"label":77,"count":666},{"key":317,"label":317,"count":669},{"key":191,"label":191,"count":693},{"key":23,"label":23,"count":768},5,{"key":770,"label":770,"count":30},"GBP",{"key":772,"label":772,"count":45},"MYR",{"key":261,"label":261,"count":45},{"key":775,"label":775,"count":62},"MXN",{"key":777,"label":777,"count":62},"HKD",{"key":493,"label":493,"count":62},[780,782],{"key":26,"label":26,"count":781},86,{"key":783,"label":783,"count":62},"PART_TIME",{"total":62,"jobs":785},[]]