[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-tensorflow-global":3,"job-search-\u002Fde\u002Fjobs-by-skill\u002Ftensorflow?page=4":4,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Ftensorflow?page=4":557,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Ftensorflow?page=4":753},{},{"total":5,"jobs":6},84,[7,76,113,146,178,209,238,267,304,326,351,374,395,410,428,454,484,498,520,542],{"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":54,"processed_job_expertise_skills_labels":55,"max_cpc":75,"actual_cpc":75},66870,"software-engineer-iii-ai-integration-the-toronto-dominion-bank-canada","Software Engineer III (AI Integration)",null,false,{"name":14,"slug":15,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[17],"Toronto",[19],"CA","onsite",125500,154000,"CAD","estimated",[26],"FULL_TIME","permanent",{"aws":29,"gcp":29,"sql":30,"azure":29,"ci\u002Fcd":29,"numpy":29,"spark":30,"docker":29,"mlflow":30,"pandas":29,"python":29,"airflow":30,"pytorch":29,"kubeflow":30,"langchain":29,"langsmith":30,"kubernetes":29,"tensorflow":29,"openai apis":29,"rag systems":30,"scikit-learn":29,"vector databases":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],"Python","SQL","Spark","Pandas","NumPy","Scikit-learn","PyTorch","TensorFlow","LangChain","LangSmith","OpenAI APIs","MLflow","Kubeflow","Airflow","Docker","Kubernetes","AWS","GCP","Azure","CI\u002FCD","Vector databases","RAG systems",{"nlp":29,"llms":29,"security":30,"algorithms":29,"prototyping":30,"data quality":30,"deep learning":29,"microservices":29,"api development":29,"data governance":30,"data structures":29,"experimentation":30,"machine learning":29,"model deployment":29,"model monitoring":29,"data preprocessing":29,"feature engineering":29,"regulated industries":30,"software engineering":29},[56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74],"Machine Learning","Deep Learning","LLMs","NLP","Data Preprocessing","Feature Engineering","Model Deployment","Model Monitoring","Data Quality","Data Governance","Security","Software Engineering","Data Structures","Algorithms","Microservices","API Development","Prototyping","Experimentation","Regulated Industries",1,{"id":77,"slug":78,"title":79,"raw_title":11,"is_featured":12,"company":80,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":83,"processed_country_iso_code_gmaps":85,"processed_home_office":20,"processed_salary_min":87,"processed_salary_max":88,"processed_salary_currency":89,"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":96,"processed_job_expertise_skills_labels":97,"max_cpc":75,"actual_cpc":75},59748,"senior-data-scientist-ind201-refinitiv-india-shared-services-private-limited","Senior Data Scientist",{"name":81,"slug":82,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[84],"Bengaluru",[86],"IN",90000,130000,"USD",[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},[32,93,33,39,38,37,94,51,48,50,95],"R","Git","MLOps",{"web crawling":30,"deep learning":29,"data analytics":29,"financial data":30,"product vision":29,"cloud platforms":29,"data management":30,"coding standards":30,"machine learning":29,"entity extraction":30,"prompt engineering":29,"feature engineering":29,"predictive modeling":29,"statistical analysis":29,"evaluation frameworks":30,"large language models":29,"natural language processing":29,"retrieval-augmented generation":29},[98,61,99,100,101,102,103,104,57,56,105,106,107,108,109,110,111,112],"Data Analytics","Predictive Modeling","Statistical Analysis","Natural Language Processing","Large Language Models","Prompt Engineering","Retrieval-Augmented Generation","Web Crawling","Entity Extraction","Data Management","Financial Data","Product Vision","Coding Standards","Evaluation Frameworks","Cloud Platforms",{"id":114,"slug":115,"title":116,"raw_title":11,"is_featured":12,"company":117,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":120,"processed_country_iso_code_gmaps":122,"processed_home_office":20,"processed_salary_min":123,"processed_salary_max":124,"processed_salary_currency":125,"processed_salary_source":24,"processed_working_hours":126,"processed_employment_types":27,"processed_it_skills":127,"processed_it_skills_labels":128,"processed_job_expertise_skills":136,"processed_job_expertise_skills_labels":137,"max_cpc":75,"actual_cpc":75},51809,"senior-associate-data-scientist-tiaa-global-capabilities-private-limited","Senior Associate - Data Scientist",{"name":118,"slug":119,"logo_url":11},"TIAA Global Capabilities Private Limited","tiaa-global-capabilities-private-limited",[121],"Pune",[86],2000000,3500000,"INR",[26],{"sql":29,"keras":29,"spark":30,"mlflow":30,"python":29,"pytorch":29,"tableau":30,"xgboost":29,"snowflake":30,"databricks":30,"tensorflow":29,"scikit-learn":29,"aws sagemaker":30},[32,33,39,129,38,130,131,132,34,133,43,134,135],"Keras","scikit-learn","XGBoost","Databricks","Snowflake","AWS SageMaker","Tableau",{"statistics":29,"programming":29,"optimization":29,"deep learning":29,"llm knowledge":30,"pattern mining":29,"user profiling":29,"machine learning":29,"data preprocessing":29,"prompt engineering":30,"predictive modeling":29,"recommender systems":29,"market\u002Findustry dynamics":30},[56,57,60,99,138,139,140,141,142,143,144,145,103],"Statistics","Programming","Market\u002FIndustry Dynamics","Optimization","Pattern Mining","Recommender Systems","User Profiling","LLM Knowledge",{"id":147,"slug":148,"title":79,"raw_title":11,"is_featured":12,"company":149,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":152,"processed_country_iso_code_gmaps":154,"processed_home_office":20,"processed_salary_min":156,"processed_salary_max":87,"processed_salary_currency":157,"processed_salary_source":24,"processed_working_hours":158,"processed_employment_types":27,"processed_it_skills":159,"processed_it_skills_labels":160,"processed_job_expertise_skills":167,"processed_job_expertise_skills_labels":168,"max_cpc":75,"actual_cpc":75},64452,"senior-data-scientist-sedgwick-malaysia-sdn-bhd",{"name":150,"slug":151,"logo_url":11},"Sedgwick Malaysia Sdn Bhd","sedgwick-malaysia-sdn-bhd",[153],"Kuala Lumpur",[155],"MY",60000,"MYR",[26],{"r":30,"sql":30,"ssrs":30,"keras":30,"ggplot":30,"plotly":30,"python":29,"seaborn":30,"power bi":30,"matplotlib":30,"tensorflow":30,"scikit-learn":29},[32,93,33,130,39,129,161,162,163,164,165,166],"ggplot","plotly","matplotlib","seaborn","Power BI","SSRS",{"reporting":30,"data analysis":29,"documentation":30,"poc development":30,"machine learning":29,"data storytelling":29,"experimental design":30,"predictive modeling":29,"statistical modelling":29,"business value estimation":30,"technical solution design":29},[169,170,56,99,171,172,173,174,175,176,177],"Data Analysis","Statistical Modelling","Data Storytelling","Technical Solution Design","POC Development","Business Value Estimation","Experimental Design","Documentation","Reporting",{"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":198,"processed_job_expertise_skills_labels":199,"max_cpc":75,"actual_cpc":75},59985,"data-scientist-pol007-refinitiv-poland-spoka-z-oo","Data Scientist",{"name":183,"slug":184,"logo_url":11},"Refinitiv Poland Spółka z o.o.","refinitiv-poland-spoka-z-oo",[186],"Gdynia",[188],"PL",142900,226100,"PLN",[26],{"r":30,"aws":30,"git":30,"sql":30,"azure":30,"ci\u002Fcd":30,"numpy":29,"pandas":29,"python":29,"jupyter":29,"pytorch":30,"tensorflow":30,"scikit-learn":29},[32,93,33,130,195,196,197,39,38,94,51,48,50],"numpy","pandas","jupyter",{"nlp":29,"rag":29,"llms":29,"mlops":30,"statistics":29,"web scraping":30,"data handling":29,"deep learning":29,"data analytics":29,"data processing":29,"machine learning":29,"model evaluation":29,"entity extraction":30,"data visualization":30,"database management":30,"feature engineering":29,"predictive modelling":29,"fixed income reference data":30},[56,57,59,58,200,138,98,61,201,202,203,204,106,95,205,206,207,208],"RAG","Predictive Modelling","Model Evaluation","Data Visualization","Web Scraping","Data Processing","Data Handling","Database Management","Fixed Income Reference Data",{"id":210,"slug":211,"title":212,"raw_title":11,"is_featured":12,"company":213,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":216,"processed_country_iso_code_gmaps":217,"processed_home_office":20,"processed_salary_min":87,"processed_salary_max":88,"processed_salary_currency":219,"processed_salary_source":24,"processed_working_hours":220,"processed_employment_types":27,"processed_it_skills":221,"processed_it_skills_labels":223,"processed_job_expertise_skills":230,"processed_job_expertise_skills_labels":231,"max_cpc":75,"actual_cpc":75},62249,"avp-credit-risk-data-scientist-credit-risk-modelling-ocbc-bank","AVP, Credit Risk Data Scientist, Credit Risk Modelling",{"name":214,"slug":215,"logo_url":11},"OCBC Bank","ocbc-bank",[],[218],"SG","SGD",[26],{"git":222,"sql":30,"hive":30,"jira":222,"spark":30,"trino":30,"hadoop":30,"python":29,"jenkins":222,"pytorch":29,"tensorflow":29,"scikit-learn":29},2,[32,33,224,225,226,34,227,228,94,229,39,38],"Hadoop","Hive","Trino","Jira","Jenkins","Scikit-Learn",{"data analysis":29,"risk management":29,"machine learning":29,"model governance":30,"model validation":30,"project management":30,"credit risk modelling":29,"regulatory compliance":30},[232,56,169,233,234,235,236,237],"Credit Risk Modelling","Model Validation","Model Governance","Regulatory Compliance","Risk Management","Project Management",{"id":239,"slug":240,"title":241,"raw_title":11,"is_featured":12,"company":242,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":246,"processed_country_iso_code_gmaps":248,"processed_home_office":249,"processed_salary_min":250,"processed_salary_max":251,"processed_salary_currency":191,"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":261,"processed_job_expertise_skills_labels":262,"max_cpc":75,"actual_cpc":75},47407,"risk-ai-data-scientist-ing-hubs-bv-sp-z-oo-oddzia-w-polsce","Risk AI Data Scientist",{"name":243,"slug":244,"logo_url":245},"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",[247],"Warszawa",[188],"hybrid",13000,22000,[26],{"git":30,"sas":222,"sql":30,"faiss":30,"python":29,"pytorch":30,"langchain":30,"vertex ai":30,"llamaindex":30,"tensorflow":30,"huggingface":30,"azure devops":30},[32,33,38,39,255,40,256,257,258,259,94,260],"HuggingFace","LlamaIndex","FAISS","Vertex AI","Azure DevOps","SAS",{"nlp":29,"data governance":30,"risk management":29,"agentic workflows":29,"rag pipeline design":29,"credit risk modelling":29,"model lifecycle governance":30,"large-scale unstructured data":30},[236,232,263,264,59,265,65,266],"Model Lifecycle Governance","RAG Pipeline Design","Agentic Workflows","Large-scale Unstructured Data",{"id":268,"slug":269,"title":270,"raw_title":11,"is_featured":12,"company":271,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":274,"processed_country_iso_code_gmaps":276,"processed_home_office":249,"processed_salary_min":278,"processed_salary_max":279,"processed_salary_currency":89,"processed_salary_source":24,"processed_working_hours":280,"processed_employment_types":27,"processed_it_skills":281,"processed_it_skills_labels":282,"processed_job_expertise_skills":291,"processed_job_expertise_skills_labels":292,"max_cpc":75,"actual_cpc":75},83795,"staff-engineer-ivr-government-employees-insurance-company","Staff Engineer - IVR",{"name":272,"slug":273,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[275],"Palo Alto",[277],"US",115000,230000,[26],{"aws":30,"c++":30,"gcp":30,"sql":30,"java":30,"azure":30,"nosql":30,"docker":30,"python":29,"pytorch":30,"rest apis":30,"kubernetes":30,"powershell":222,"tensorflow":30,"microservices":30,"continuous delivery":30,"infrastructure as code":30,"application monitoring tools":30},[32,33,283,46,47,50,39,38,284,285,286,287,70,48,49,288,289,290],"NoSQL","Java","C++","PowerShell","REST APIs","Infrastructure as Code","Continuous Delivery","Application Monitoring Tools",{"ivr systems":30,"system design":29,"cloud computing":29,"speech recognition":30,"distributed systems":29,"multi-agent systems":30,"software architecture":29,"ai\u002Fml model deployment":29,"intelligent automation":30,"recommendation systems":30,"natural language processing":30,"software development life cycle":29},[293,294,295,296,297,101,298,299,300,301,302,303],"AI\u002FML model deployment","Distributed systems","Software architecture","System design","Cloud computing","Speech recognition","Recommendation systems","Intelligent automation","Multi-agent systems","IVR systems","Software development life cycle",{"id":305,"slug":306,"title":307,"raw_title":11,"is_featured":12,"company":308,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":311,"processed_country_iso_code_gmaps":312,"processed_home_office":20,"processed_salary_min":313,"processed_salary_max":314,"processed_salary_currency":157,"processed_salary_source":24,"processed_working_hours":315,"processed_employment_types":27,"processed_it_skills":316,"processed_it_skills_labels":317,"processed_job_expertise_skills":320,"processed_job_expertise_skills_labels":321,"max_cpc":75,"actual_cpc":75},50354,"vp2-data-analytics-amp-insights-specialist-compliance-united-overseas-bank-malaysia-bhd","VP2, Data Analytics & Insights Specialist, Compliance",{"name":309,"slug":310,"logo_url":11},"United Overseas Bank (Malaysia) Bhd","united-overseas-bank-malaysia-bhd",[153],[155],120000,180000,[26],{"r":29,"keras":30,"pandas":29,"python":29,"tensorflow":30,"scikit-learn":30,"data wrangling":29,"machine learning":29,"network link analysis":30,"natural language processing":30},[32,93,56,101,318,319,39,129,37,35],"Network Link Analysis","Data Wrangling",{"data analysis":29,"aml\u002Fafc analytics":29,"model development":29,"model maintenance":29,"project management":30,"compliance risk analytics":29},[322,323,169,324,325,237],"Model Maintenance","Model Development","Compliance Risk Analytics","AML\u002FAFC Analytics",{"id":327,"slug":328,"title":329,"raw_title":11,"is_featured":12,"company":330,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":333,"processed_country_iso_code_gmaps":335,"processed_home_office":20,"processed_salary_min":87,"processed_salary_max":336,"processed_salary_currency":219,"processed_salary_source":24,"processed_working_hours":337,"processed_employment_types":27,"processed_it_skills":338,"processed_it_skills_labels":339,"processed_job_expertise_skills":343,"processed_job_expertise_skills_labels":344,"max_cpc":75,"actual_cpc":75},47972,"machine-learning-engineer-ch10-bjb-bank-julius-baer-amp-co-ltd","Machine Learning Engineer",{"name":331,"slug":332,"logo_url":11},"Bank Julius Baer & Co. Ltd.","bank-julius-baer-co-ltd",[334],"Singapore",[218],150000,[26],{"python":29,"pytorch":30,"testing":30,"tensorflow":30,"documentation":30,"version control":30,"llm orchestration frameworks":30},[32,39,38,340,341,342,176],"LLM orchestration frameworks","Version control","Testing",{"ai agents":29,"statistics":30,"rag systems":29,"data science":29,"optimization":30,"linear algebra":30,"machine learning":29,"model evaluation":29,"data preprocessing":30,"feature engineering":30,"large language models":29},[56,345,102,346,53,347,348,349,138,350,141],"Data Science","AI agents","Model evaluation","Data preprocessing","Feature engineering","Linear algebra",{"id":352,"slug":353,"title":329,"raw_title":11,"is_featured":12,"company":354,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":355,"processed_country_iso_code_gmaps":356,"processed_home_office":20,"processed_salary_min":87,"processed_salary_max":336,"processed_salary_currency":219,"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":364,"processed_job_expertise_skills_labels":365,"max_cpc":75,"actual_cpc":75},47973,"machine-learning-engineer-ch10-bjb-bank-julius-baer-amp-co-ltd-2",{"name":331,"slug":332,"logo_url":11},[334],[218],[26],{"python":29,"pytorch":30,"testing":30,"tensorflow":30,"documentation":30,"version control":30,"deep learning frameworks":30,"machine learning libraries":30,"llm orchestration frameworks":30},[32,39,38,360,361,362,363,342,176],"Machine Learning Libraries","Deep Learning Frameworks","LLM Orchestration Frameworks","Version Control",{"rag systems":29,"ai solutions":29,"model selection":29,"machine learning":29,"model evaluation":29,"data preprocessing":29,"prompt engineering":29,"feature engineering":29,"multi-agent systems":29,"statistical concepts":29,"function\u002Ftool-calling":29,"mathematical concepts":29,"software development best practices":29},[56,366,367,368,369,202,103,60,61,370,371,372,373],"AI Solutions","Multi-agent Systems","Function\u002FTool-calling","RAG Systems","Model Selection","Statistical Concepts","Mathematical Concepts","Software Development Best Practices",{"id":375,"slug":376,"title":79,"raw_title":11,"is_featured":12,"company":377,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":380,"processed_country_iso_code_gmaps":382,"processed_home_office":20,"processed_salary_min":384,"processed_salary_max":385,"processed_salary_currency":386,"processed_salary_source":24,"processed_working_hours":387,"processed_employment_types":27,"processed_it_skills":388,"processed_it_skills_labels":389,"processed_job_expertise_skills":390,"processed_job_expertise_skills_labels":391,"max_cpc":75,"actual_cpc":75},59442,"senior-data-scientist-chn020-refinitiv-information-services-china-co-ltd-shenzhen-branch",{"name":378,"slug":379,"logo_url":11},"Refinitiv Information Services (China) Co., Ltd. - Shenzhen Branch","refinitiv-information-services-china-co-ltd-shenzhen-branch",[381],"Shenzhen",[383],"CN",600000,900000,"CNY",[26],{"r":30,"aws":30,"git":30,"sql":30,"azure":30,"python":29,"pytorch":29,"tensorflow":29,"scikit-learn":29},[32,33,39,38,37,94,48,50,93],{"ci\u002Fcd":30,"mlops":30,"scraping":30,"probability":29,"web crawling":30,"deep learning":29,"data analytics":29,"financial data":30,"product vision":30,"data management":30,"coding standards":30,"entity extraction":30,"applied statistics":29,"prompt engineering":29,"feature engineering":29,"predictive modeling":29,"statistical analysis":29,"evaluation frameworks":30,"large language models":29,"natural language processing":29,"retrieval-augmented generation":29},[98,101,57,102,103,104,61,99,100,392,393,95,51,105,394,106,107,108,109,110,111],"Probability","Applied Statistics","Scraping",{"id":396,"slug":397,"title":79,"raw_title":11,"is_featured":12,"company":398,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":401,"processed_country_iso_code_gmaps":403,"processed_home_office":20,"processed_salary_min":87,"processed_salary_max":88,"processed_salary_currency":89,"processed_salary_source":24,"processed_working_hours":405,"processed_employment_types":27,"processed_it_skills":406,"processed_it_skills_labels":407,"processed_job_expertise_skills":408,"processed_job_expertise_skills_labels":409,"max_cpc":75,"actual_cpc":75},59970,"senior-data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch-2",{"name":399,"slug":400,"logo_url":11},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[402],"Taguig",[404],"PH",[26],{"r":30,"aws":29,"git":30,"sql":30,"azure":30,"ci\u002Fcd":30,"python":29,"pytorch":29,"tensorflow":29,"scikit-learn":29},[32,93,33,39,38,37,94,51,48,50],{"nlp":29,"rag":29,"llms":29,"mlops":30,"scraping":30,"probability":29,"web crawling":30,"data analytics":29,"financial data":30,"product vision":30,"cloud platforms":29,"data management":30,"data processing":30,"coding standards":30,"entity extraction":30,"applied statistics":29,"feature engineering":29,"predictive modelling":29,"statistical analysis":29,"evaluation frameworks":30},[98,61,59,201,58,200,100,392,393,95,107,105,394,106,205,108,109,110,111,112],{"id":411,"slug":412,"title":79,"raw_title":11,"is_featured":12,"company":413,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":416,"processed_country_iso_code_gmaps":418,"processed_home_office":20,"processed_salary_min":87,"processed_salary_max":88,"processed_salary_currency":89,"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":422,"processed_job_expertise_skills_labels":423,"max_cpc":75,"actual_cpc":75},59451,"senior-data-scientist-chn010-refinitiv-technology-china-co-ltd",{"name":414,"slug":415,"logo_url":11},"Refinitiv Technology China Co., Ltd.","refinitiv-technology-china-co-ltd",[417],"Hai Dian Qu",[383],[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},[32,33,93,39,38,37,94,48,50,51,95],{"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},[345,56,57,101,102,103,104,100,61,99,98,105,106,107,424,109,110,111,112,425,426,427],"Financial Analytics","Relational Databases","Large-scale Data Processing","Data Pipeline",{"id":429,"slug":430,"title":431,"raw_title":11,"is_featured":12,"company":432,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":435,"processed_country_iso_code_gmaps":437,"processed_home_office":20,"processed_salary_min":438,"processed_salary_max":439,"processed_salary_currency":125,"processed_salary_source":24,"processed_working_hours":440,"processed_employment_types":27,"processed_it_skills":441,"processed_it_skills_labels":442,"processed_job_expertise_skills":444,"processed_job_expertise_skills_labels":445,"max_cpc":75,"actual_cpc":75},67211,"staff-software-engineerdata-scientist-hartford-global-services-private-limited","Staff Software Engineer\u002FData Scientist",{"name":433,"slug":434,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[436],"Hyderabad",[86],50000,80000,[26],{"git":30,"sql":30,"docker":222,"mlflow":222,"python":29,"pytorch":30,"azure ai":30,"langchain":222,"vertex ai":30,"tensorflow":30,"aws sagemaker":30},[32,33,38,39,94,46,258,134,443,40,43],"Azure AI",{"nlp":29,"ocr":222,"rag":29,"mlops":30,"deep learning":29,"generative ai":29,"responsible ai":30,"cloud computing":30,"data engineering":30,"document parsing":30,"machine learning":29,"model evaluation":29,"statistical modeling":29,"synthetic data generation":30},[56,446,57,59,447,200,448,95,202,449,450,451,452,453],"Statistical Modeling","Generative AI","Data Engineering","Synthetic Data Generation","Cloud Computing","Document Parsing","OCR","Responsible AI",{"id":455,"slug":456,"title":457,"raw_title":11,"is_featured":12,"company":458,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":459,"processed_country_iso_code_gmaps":460,"processed_home_office":20,"processed_salary_min":87,"processed_salary_max":88,"processed_salary_currency":89,"processed_salary_source":24,"processed_working_hours":461,"processed_employment_types":27,"processed_it_skills":462,"processed_it_skills_labels":463,"processed_job_expertise_skills":477,"processed_job_expertise_skills_labels":478,"max_cpc":75,"actual_cpc":75},67212,"staff-engineerai-ml-engineer-hartford-global-services-private-limited","Staff Engineer\u002FAI-ML Engineer",{"name":433,"slug":434,"logo_url":11},[436],[86],[26],{"c#":30,"aws":29,"ec2":30,"gcp":29,"sql":30,"hive":30,"java":30,"spark":30,"docker":30,"github":29,"hadoop":30,"python":29,"autosys":30,"jenkins":30,"anaconda":30,"bigquery":30,"redshift":30,"sagemaker":30,"snowflake":30,"streamlit":30,"terraform":30,"kubernetes":30,"tensorflow":30,"scikit-learn":30,"apache airflow":30,"cloudformation":30,"github actions":29},[32,284,464,33,48,49,465,466,228,467,468,469,470,224,34,225,471,133,472,473,474,46,47,475,39,37,476],"C#","SageMaker","Streamlit","Terraform","CloudFormation","GitHub","GitHub Actions","Redshift","BigQuery","Apache Airflow","Autosys","EC2","Anaconda",{"mlops":29,"insurance":30,"agile framework":30,"data engineering":29,"machine learning":29,"financial services":30,"solution architecture":29,"model development lifecycle":29},[56,95,448,479,480,481,482,483],"Solution Architecture","Model Development Lifecycle","Agile Framework","Financial Services","Insurance",{"id":485,"slug":486,"title":487,"raw_title":11,"is_featured":12,"company":488,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":489,"processed_country_iso_code_gmaps":490,"processed_home_office":20,"processed_salary_min":313,"processed_salary_max":314,"processed_salary_currency":89,"processed_salary_source":24,"processed_working_hours":491,"processed_employment_types":27,"processed_it_skills":492,"processed_it_skills_labels":493,"processed_job_expertise_skills":494,"processed_job_expertise_skills_labels":495,"max_cpc":75,"actual_cpc":75},67213,"staff-software-engineerai-ml-hartford-global-services-private-limited","Staff Software Engineer\u002FAI-ML",{"name":433,"slug":434,"logo_url":11},[436],[86],[26],{"c#":30,"aws":29,"ec2":30,"gcp":29,"sql":30,"hive":30,"java":30,"spark":30,"docker":30,"github":29,"hadoop":30,"python":29,"autosys":30,"jenkins":30,"anaconda":30,"bigquery":30,"redshift":30,"sagemaker":30,"snowflake":30,"streamlit":30,"terraform":30,"kubernetes":30,"tensorflow":30,"scikit-learn":30,"apache airflow":30,"cloudformation":30,"github actions":29},[32,284,464,33,48,49,465,466,228,467,468,469,470,224,34,225,471,133,472,473,474,46,47,475,39,37,476],{"agile":30,"ci\u002Fcd":29,"mlops":29,"data engineering":29,"machine learning":29,"solution architecture":29,"model development lifecycle":29,"data structures and algorithms":29},[56,95,448,479,51,480,496,497],"Agile","Data Structures and Algorithms",{"id":499,"slug":500,"title":501,"raw_title":11,"is_featured":12,"company":502,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":503,"processed_country_iso_code_gmaps":504,"processed_home_office":20,"processed_salary_min":505,"processed_salary_max":506,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":507,"processed_employment_types":27,"processed_it_skills":508,"processed_it_skills_labels":509,"processed_job_expertise_skills":513,"processed_job_expertise_skills_labels":514,"max_cpc":75,"actual_cpc":75},66819,"research-machine-learning-scientist-the-toronto-dominion-bank-canada","Research Machine Learning Scientist",{"name":14,"slug":15,"logo_url":11},[17],[19],140000,250000,[26],{"jax":29,"sql":30,"spark":30,"pytorch":29,"tensorflow":29,"gpu computing":29,"cloud computing (azure\u002Faws)":30},[38,39,510,34,33,511,512],"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},[56,57,447,515,516,517,518,519],"Time Series Forecasting","Reinforcement Learning","LLM Post-training","Research","Publication Record",{"id":521,"slug":522,"title":523,"raw_title":11,"is_featured":12,"company":524,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":527,"processed_country_iso_code_gmaps":529,"processed_home_office":20,"processed_salary_min":313,"processed_salary_max":314,"processed_salary_currency":531,"processed_salary_source":24,"processed_working_hours":532,"processed_employment_types":27,"processed_it_skills":533,"processed_it_skills_labels":534,"processed_job_expertise_skills":538,"processed_job_expertise_skills_labels":539,"max_cpc":75,"actual_cpc":75},59540,"principal-applied-data-scientist-gbr006-refinitiv-limited","Principal Applied Data Scientist",{"name":525,"slug":526,"logo_url":11},"Refinitiv Limited","refinitiv-limited",[528],"London",[530],"GB","EUR",[26],{"aws":29,"azure":29,"ci\u002Fcd":30,"python":29,"pytorch":29,"monitoring":30,"tensorflow":29,"typescript":30,"scikit-learn":29,"version control":30,"automated testing":30},[32,38,39,229,535,50,48,51,363,536,537],"TypeScript","Automated Testing","Monitoring",{"nlp":29,"llms":29,"devops":30,"probability":29,"model deployment":29,"model evaluation":29,"statistical modeling":29,"object-oriented design":29},[59,58,446,392,62,202,540,541],"Object-Oriented Design","DevOps",{"id":543,"slug":544,"title":329,"raw_title":11,"is_featured":12,"company":545,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":546,"processed_country_iso_code_gmaps":547,"processed_home_office":20,"processed_salary_min":313,"processed_salary_max":506,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":548,"processed_employment_types":27,"processed_it_skills":549,"processed_it_skills_labels":550,"processed_job_expertise_skills":553,"processed_job_expertise_skills_labels":554,"max_cpc":75,"actual_cpc":556},66788,"machine-learning-engineer-the-toronto-dominion-bank-canada",{"name":14,"slug":15,"logo_url":11},[17],[19],[26],{"c":30,"c++":30,"jax":30,"java":30,"python":29,"pytorch":30,"langgraph":30,"tensorflow":30,"gpu computing":30},[32,284,551,285,38,39,510,552,511],"C","LangGraph",{"research":30,"deep learning":29,"data engineering":30,"machine learning":29,"system architecture":29,"software engineering":29},[56,57,67,555,448,518],"System Architecture",0.5,{"industry":558,"employment_type":590,"expertise_skills":600,"it_skills":665,"salary_currency":728,"processed_working_hours":748},[559,562,565,569,573,577,581,584,587],{"key":560,"label":483,"count":561},"insurance",30,{"key":563,"label":482,"count":564},"financial services",28,{"key":566,"label":567,"count":568},"banking","Banking",19,{"key":570,"label":571,"count":572},"financial markets infrastructure","Financial Markets Infrastructure",14,{"key":574,"label":575,"count":576},"data","Data",8,{"key":578,"label":579,"count":580},"data provider","Data Provider",6,{"key":582,"label":583,"count":29},"asset management","Asset Management",{"key":585,"label":586,"count":222},"private equity","Private Equity",{"key":588,"label":589,"count":222},"wealth management","Wealth Management",[591,594,597],{"key":27,"label":592,"count":593},"PERMANENT",82,{"key":595,"label":596,"count":75},"contract","CONTRACT",{"key":598,"label":599,"count":75},"student","STUDENT",[601,604,606,609,611,614,617,621,625,627,629,632,634,637,640,643,645,647,649,652,654,658,660,663],{"key":602,"label":56,"slug":602,"count":603},"machine-learning",53,{"key":605,"label":57,"slug":605,"count":564},"deep-learning",{"key":607,"label":103,"slug":607,"count":608},"prompt-engineering",18,{"key":610,"label":101,"slug":610,"count":608},"natural-language-processing",{"key":612,"label":61,"slug":612,"count":613},"feature-engineering",17,{"key":615,"label":616,"slug":615,"count":613},"generative-ai","Generative Ai",{"key":618,"label":619,"slug":618,"count":620},"mlops","Mlops",16,{"key":622,"label":623,"slug":622,"count":624},"nlp","Nlp",13,{"key":626,"label":345,"slug":626,"count":624},"data-science",{"key":628,"label":448,"slug":628,"count":624},"data-engineering",{"key":630,"label":202,"slug":630,"count":631},"model-evaluation",12,{"key":633,"label":62,"slug":633,"count":631},"model-deployment",{"key":635,"label":63,"slug":635,"count":636},"model-monitoring",11,{"key":638,"label":639,"slug":638,"count":636},"ai-governance","Ai Governance",{"key":641,"label":65,"slug":641,"count":642},"data-governance",10,{"key":644,"label":98,"slug":644,"count":642},"data-analytics",{"key":646,"label":450,"slug":646,"count":642},"cloud-computing",{"key":648,"label":446,"slug":648,"count":642},"statistical-modeling",{"key":650,"label":651,"slug":650,"count":642},"llms","Llms",{"key":653,"label":138,"slug":653,"count":642},"statistics",{"key":655,"label":656,"slug":655,"count":657},"responsible-ai","Responsible Ai",9,{"key":659,"label":203,"slug":659,"count":657},"data-visualization",{"key":661,"label":662,"slug":661,"count":657},"rag","Rag",{"key":664,"label":106,"slug":664,"count":576},"entity-extraction",[666,669,671,675,678,680,684,688,692,695,697,700,701,704,706,708,711,714,715,717,719,721,723,726],{"key":667,"label":668,"slug":667,"count":5},"tensorflow","Tensorflow",{"key":670,"label":32,"slug":670,"count":593},"python",{"key":672,"label":673,"slug":672,"count":674},"pytorch","Pytorch",73,{"key":676,"label":33,"slug":676,"count":677},"sql",60,{"key":130,"label":229,"slug":130,"count":679},56,{"key":681,"label":682,"slug":681,"count":683},"aws","Aws",39,{"key":685,"label":686,"slug":685,"count":687},"ms-azure","MS Azure",34,{"key":689,"label":690,"slug":689,"count":691},"cicd","Ci\u002FCd",25,{"key":693,"label":94,"slug":693,"count":694},"git",21,{"key":696,"label":47,"slug":696,"count":694},"kubernetes",{"key":698,"label":46,"slug":698,"count":699},"docker",20,{"key":196,"label":35,"slug":196,"count":608},{"key":702,"label":703,"slug":702,"count":608},"langchain","Langchain",{"key":705,"label":284,"slug":705,"count":613},"java",{"key":707,"label":93,"slug":707,"count":613},"r",{"key":709,"label":710,"slug":709,"count":620},"gcp","Gcp",{"key":195,"label":712,"slug":195,"count":713},"Numpy",15,{"key":618,"label":619,"slug":618,"count":624},{"key":716,"label":34,"slug":716,"count":624},"spark",{"key":718,"label":129,"slug":718,"count":636},"keras",{"key":720,"label":133,"slug":720,"count":636},"snowflake",{"key":722,"label":285,"slug":722,"count":657},"c",{"key":724,"label":725,"slug":724,"count":576},"langgraph","Langgraph",{"key":727,"label":70,"slug":727,"count":576},"microservices",[729,731,732,733,734,736,739,740,741,743,745,747],{"key":89,"label":89,"count":730},27,{"key":125,"label":125,"count":624},{"key":219,"label":219,"count":636},{"key":531,"label":531,"count":576},{"key":23,"label":23,"count":735},7,{"key":737,"label":737,"count":738},"PHP",5,{"key":157,"label":157,"count":29},{"key":191,"label":191,"count":30},{"key":742,"label":742,"count":30},"GBP",{"key":744,"label":744,"count":75},"MXN",{"key":746,"label":746,"count":75},"HKD",{"key":386,"label":386,"count":75},[749,751],{"key":26,"label":26,"count":750},83,{"key":752,"label":752,"count":75},"PART_TIME",{"total":75,"jobs":754},[]]