[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-generative-ai-ca":3,"job-search-\u002Fde-ca\u002Fjobs-by-expertise\u002Fgenerative-ai":4,"featured-jobs-\u002Fde-ca\u002Fjobs-by-expertise\u002Fgenerative-ai":392,"expertise-filters-\u002Fde-ca\u002Fjobs-by-expertise\u002Fgenerative-ai":395},{},{"total":5,"jobs":6},14,[7,71,102,136,162,177,211,236,275,288,308,332,356,375],{"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":38,"processed_job_expertise_skills_labels":39,"max_cpc":69,"actual_cpc":70},81375,"manager-lending-strategy-bank-of-montreal","Manager - Lending Strategy",null,false,{"name":14,"slug":15,"logo_url":11},"Bank of Montreal","bank-of-montreal",[17],"Toronto",[19],"CA","onsite",70000,150000,"CAD","estimated",[26],"FULL_TIME","permanent",{"sas":29,"sql":29,"python":29,"machine learning libraries":29,"cloud-based analytics tools":30,"data visualization platforms":30},4,3,[32,33,34,35,36,37],"Python","SQL","SAS","Machine Learning Libraries","Cloud-based Analytics Tools","Data Visualization Platforms",{"privacy":30,"big data":30,"data mining":30,"forecasting":29,"text mining":30,"data science":29,"segmentation":29,"credit policy":30,"generative ai":30,"responsible ai":30,"decision science":29,"machine learning":29,"model governance":30,"model monitoring":29,"advanced analytics":29,"feature engineering":29,"predictive modeling":29,"portfolio management":29,"credit risk analytics":29,"strategy optimization":29,"experimentation design":29,"risk-return trade-offs":29,"optimization techniques":30,"performance measurement":29,"regulatory expectations":30,"credit lifecycle economics":29,"unsecured lending strategy":29,"natural language processing":30,"customer treatment strategies":29},[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68],"Data Science","Machine Learning","Advanced Analytics","Credit Risk Analytics","Unsecured Lending Strategy","Predictive Modeling","Feature Engineering","Experimentation Design","Model Monitoring","Segmentation","Forecasting","Performance Measurement","Portfolio Management","Credit Lifecycle Economics","Risk-Return Trade-offs","Customer Treatment Strategies","Model Governance","Responsible AI","Privacy","Credit Policy","Regulatory Expectations","Decision Science","Strategy Optimization","Generative AI","Big Data","Optimization Techniques","Data Mining","Text Mining","Natural Language Processing",1,1.2,{"id":72,"slug":73,"title":74,"raw_title":11,"is_featured":12,"company":75,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":78,"processed_country_iso_code_gmaps":79,"processed_home_office":80,"processed_salary_min":81,"processed_salary_max":82,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":83,"processed_employment_types":27,"processed_it_skills":84,"processed_it_skills_labels":86,"processed_job_expertise_skills":93,"processed_job_expertise_skills_labels":94,"max_cpc":69,"actual_cpc":70},78551,"data-analyst-sun-life-assurance-company-of-canada","Data Analyst",{"name":76,"slug":77,"logo_url":11},"Sun Life Assurance Company of Canada","sun-life-assurance-company-of-canada",[17],[19],"hybrid",60000,97000,[26],{"sas":30,"sql":29,"python":85,"pyspark":30,"tableau":30,"ms excel":30,"ms access":85,"salesforce":85,"aws cloud services (glue, s3, athena, quick suite)":30},2,[33,87,32,34,88,89,90,91,92],"PySpark","AWS Cloud Services (Glue, S3, Athena, Quick Suite)","Tableau","MS Excel","MS Access","Salesforce",{"agentic ai":69,"data modeling":30,"generative ai":69,"conversational ai":69,"data visualization":29,"hypothesis testing":30,"quantitative analysis":29,"predictive and prescriptive techniques":85},[95,96,97,98,99,63,100,101],"Quantitative Analysis","Hypothesis Testing","Data Modeling","Data Visualization","Predictive and Prescriptive Techniques","Agentic AI","Conversational AI",{"id":103,"slug":104,"title":105,"raw_title":11,"is_featured":12,"company":106,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":107,"processed_country_iso_code_gmaps":108,"processed_home_office":80,"processed_salary_min":109,"processed_salary_max":110,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":111,"processed_employment_types":27,"processed_it_skills":112,"processed_it_skills_labels":113,"processed_job_expertise_skills":122,"processed_job_expertise_skills_labels":123,"max_cpc":69,"actual_cpc":70},70466,"enterprise-architect-ai-and-data-bank-of-montreal","Enterprise Architect – AI and Data",{"name":14,"slug":15,"logo_url":11},[17],[19],85500,185000,[26],{"aws":30,"gcp":30,"sql":29,"apis":30,"azure":30,"python":29,"pytorch":30,"tensorflow":30,"mlops tools":30,"microservices":30},[32,33,114,115,116,117,118,119,120,121],"TensorFlow","PyTorch","Azure","AWS","GCP","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},[124,125,41,63,126,127,128,129,130,131,132,133,134,135],"AI Architecture","Data Architecture","LLMs","Reinforcement Learning","Cloud Architecture","Data Engineering","Software Development","Enterprise Architecture Frameworks","Technology Governance","Risk Management","Financial Industry Knowledge","Business Case Development",{"id":137,"slug":138,"title":139,"raw_title":11,"is_featured":12,"company":140,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":141,"processed_country_iso_code_gmaps":142,"processed_home_office":20,"processed_salary_min":143,"processed_salary_max":143,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":144,"processed_employment_types":27,"processed_it_skills":145,"processed_it_skills_labels":146,"processed_job_expertise_skills":153,"processed_job_expertise_skills_labels":154,"max_cpc":69,"actual_cpc":70},70422,"analyst-data-scientist-bank-of-montreal","Analyst, Data Scientist",{"name":14,"slug":15,"logo_url":11},[17],[19],100000,[26],{"python":29,"factset":85,"bloomberg":85,"mlops tools":85,"thomson reuters":85,"cloud technologies":30,"machine learning frameworks":29},[32,147,148,149,150,151,152],"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},[155,156,157,63,158,127,159,160,161],"Statistical Modeling","Time Series Analysis","Algorithmic Trading","Deep Learning","Investment Banking Concepts","Trading Strategies","Financial Data Formats",{"id":163,"slug":164,"title":165,"raw_title":11,"is_featured":12,"company":166,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":167,"processed_country_iso_code_gmaps":168,"processed_home_office":20,"processed_salary_min":169,"processed_salary_max":170,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":171,"processed_employment_types":27,"processed_it_skills":172,"processed_it_skills_labels":173,"processed_job_expertise_skills":174,"processed_job_expertise_skills_labels":175,"max_cpc":69,"actual_cpc":70},81328,"associate-data-scientist-bank-of-montreal","Associate, Data Scientist",{"name":14,"slug":15,"logo_url":11},[17],[19],90000,120000,[26],{"python":29,"factset":85,"bloomberg":85,"mlops tools":85,"thomson reuters":85,"cloud technologies":30},[32,147,150,151,152,149],{"deep learning":30,"generative ai":30,"machine learning":29,"trading strategies":85,"algorithmic trading":30,"statistical modeling":29,"time series analysis":29,"financial data formats":85,"reinforcement learning":30,"investment banking knowledge":85},[155,156,41,63,158,127,157,176,160,161],"Investment Banking Knowledge",{"id":178,"slug":179,"title":180,"raw_title":11,"is_featured":12,"company":181,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":182,"processed_country_iso_code_gmaps":183,"processed_home_office":20,"processed_salary_min":184,"processed_salary_max":170,"processed_salary_currency":185,"processed_salary_source":24,"processed_working_hours":186,"processed_employment_types":27,"processed_it_skills":187,"processed_it_skills_labels":188,"processed_job_expertise_skills":198,"processed_job_expertise_skills_labels":199,"max_cpc":69,"actual_cpc":70},70452,"developer-data-ai-platform-support-bank-of-montreal","Developer - Data, AI, Platform & Support",{"name":14,"slug":15,"logo_url":11},[17],[19],55500,"USD",[26],{"sql":30,"jira":30,"ssis":30,"nosql":30,"scala":30,"spark":30,"hadoop":30,"python":30,"netezza":30,"pyspark":30,"aws glue":30,"cloud storage and computing services (aws, azure)":30},[33,189,32,190,87,191,192,193,194,195,196,197],"NoSQL","Spark","Scala","SSIS","AWS Glue","Cloud storage and computing services (AWS, Azure)","Hadoop","Netezza","JIRA",{"ai concepts":30,"data mapping":30,"data analysis":30,"data modeling":30,"generative ai":30,"agile delivery":30,"data profiling":30,"prompt engineering":30,"ai-powered tools in sdlc":30,"data warehousing concepts":30,"etl\u002Felt development and testing":30,"retrieval-augmented generation (rag)":30},[200,201,202,203,204,205,206,63,207,208,209,210],"ETL\u002FELT development and testing","Data warehousing concepts","Data analysis","Data modeling","Data mapping","Data profiling","AI concepts","Prompt engineering","Retrieval-augmented generation (RAG)","AI-powered tools in SDLC","Agile delivery",{"id":212,"slug":213,"title":214,"raw_title":11,"is_featured":12,"company":215,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":218,"processed_country_iso_code_gmaps":219,"processed_home_office":20,"processed_salary_min":220,"processed_salary_max":221,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":222,"processed_employment_types":27,"processed_it_skills":223,"processed_it_skills_labels":224,"processed_job_expertise_skills":229,"processed_job_expertise_skills_labels":230,"max_cpc":69,"actual_cpc":70},66708,"applied-machine-learning-scientist-i-the-toronto-dominion-bank-canada","Applied Machine Learning Scientist I",{"name":216,"slug":217,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[17],[19],105500,125000,[26],{"python":29,"a\u002Fb testing":30,"model deployment":30,"model monitoring":30,"feature engineering":29,"large language models":30,"model interpretability":30,"machine learning libraries":29},[32,35,225,226,48,227,46,228],"Large Language Models","Model Deployment","A\u002FB Testing","Model Interpretability",{"pricing":85,"agentic ai":85,"generative ai":30,"causal inference":85,"machine learning":29,"anomaly detection":30,"financial services":85,"predictive modeling":29,"regulated environments":85},[41,45,63,231,232,100,233,234,235],"Anomaly Detection","Causal Inference","Pricing","Financial Services","Regulated Environments",{"id":237,"slug":238,"title":239,"raw_title":11,"is_featured":12,"company":240,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":241,"processed_country_iso_code_gmaps":242,"processed_home_office":80,"processed_salary_min":243,"processed_salary_max":244,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":245,"processed_employment_types":27,"processed_it_skills":246,"processed_it_skills_labels":247,"processed_job_expertise_skills":252,"processed_job_expertise_skills_labels":253,"max_cpc":69,"actual_cpc":70},70567,"senior-manager-data-engineering-bank-of-montreal","Senior Manager Data Engineering",{"name":14,"slug":15,"logo_url":11},[17],[19],94600,176000,[26],{"aws":29,"sql":29,"jira":30,"ssis":29,"azure":29,"ci\u002Fcd":29,"nosql":29,"scala":29,"spark":29,"devops":29,"hadoop":29,"python":29,"netezza":29,"aws glue":29,"apache airflow":29,"infrastructure as code":29},[33,189,32,190,191,192,193,117,116,195,196,248,249,250,251,197],"Apache Airflow","DevOps","CI\u002FCD","Infrastructure as Code",{"qa":29,"etl":29,"debugging":29,"automation":29,"ai concepts":29,"data mining":29,"data mapping":29,"unit testing":29,"data analysis":29,"data modeling":29,"generative ai":29,"agile delivery":29,"data profiling":29,"streaming data":29,"cloud computing":29,"batch processing":29,"data engineering":29,"data warehousing":29,"code optimization":29,"prompt engineering":29,"process improvement":29,"regulatory compliance":29,"solution architecture":29,"software engineering standards":29,"retrieval-augmented generation (rag)":29},[129,254,255,97,66,256,257,258,259,63,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274],"ETL","Solution Architecture","Data Analysis","Data Profiling","Data Mapping","AI Concepts","Prompt Engineering","Retrieval-Augmented Generation (RAG)","Agile Delivery","Software Engineering Standards","Process Improvement","Automation","Code Optimization","Debugging","Unit Testing","QA","Data Warehousing","Cloud Computing","Batch Processing","Streaming Data","Regulatory Compliance",{"id":276,"slug":277,"title":278,"raw_title":11,"is_featured":12,"company":279,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":280,"processed_country_iso_code_gmaps":281,"processed_home_office":20,"processed_salary_min":170,"processed_salary_max":22,"processed_salary_currency":23,"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":286,"processed_job_expertise_skills_labels":287,"max_cpc":69,"actual_cpc":70},54766,"vice-president-data-scientist-bank-of-montreal","Vice President, Data Scientist",{"name":14,"slug":15,"logo_url":11},[17],[19],[26],{"mlops":30,"python":29,"factset":85,"bloomberg":85,"thomson reuters":85,"cloud technologies":30,"machine learning frameworks":29},[32,148,147,285,150,151,152],"MLOps",{"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},[155,156,63,158,127,157,159,160,161],{"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":295,"processed_salary_max":296,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":297,"processed_employment_types":27,"processed_it_skills":298,"processed_it_skills_labels":299,"processed_job_expertise_skills":303,"processed_job_expertise_skills_labels":304,"max_cpc":69,"actual_cpc":70},66707,"applied-machine-learning-scientist-ii-the-toronto-dominion-bank-canada","Applied Machine Learning Scientist II",{"name":216,"slug":217,"logo_url":11},[17],[19],125500,154000,[26],{"sql":30,"python":29,"databricks":30,"azure cloud":30,"azure ml services":30},[32,33,300,301,302],"Azure Cloud","Azure ML Services","Databricks",{"agentic ai":30,"a\u002Fb testing":29,"generative ai":29,"causal inference":30,"machine learning":29,"model deployment":29,"model evaluation":29,"model governance":30,"model monitoring":29,"anomaly detection":30,"feature engineering":29,"statistical testing":29,"model risk management":30,"model interpretability":29},[41,63,305,226,48,306,46,228,56,307,227,231,232,100],"Model Evaluation","Statistical Testing","Model Risk Management",{"id":309,"slug":310,"title":311,"raw_title":11,"is_featured":12,"company":312,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":313,"processed_country_iso_code_gmaps":314,"processed_home_office":20,"processed_salary_min":169,"processed_salary_max":170,"processed_salary_currency":23,"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":322,"processed_job_expertise_skills_labels":323,"max_cpc":69,"actual_cpc":70},54560,"associate-data-engineer-bank-of-montreal","Associate, Data Engineer",{"name":14,"slug":15,"logo_url":11},[17],[19],[26],{"aws":30,"gcp":30,"sql":29,"java":30,"azure":30,"kafka":29,"scala":30,"spark":29,"docker":30,"python":29,"kubernetes":30},[32,191,318,190,319,33,320,321,117,116,118],"Java","Kafka","Docker","Kubernetes",{"agentic ai":85,"data modeling":29,"etl processes":29,"generative ai":85,"orchestration":30,"database design":29,"cloud deployment":30,"containerization":30,"stream processing":29,"distributed computing":29,"financial domain knowledge":30},[97,324,325,326,327,328,329,330,331,63,100],"Database Design","ETL Processes","Distributed Computing","Stream Processing","Cloud Deployment","Containerization","Orchestration","Financial Domain Knowledge",{"id":333,"slug":334,"title":335,"raw_title":11,"is_featured":12,"company":336,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":337,"processed_country_iso_code_gmaps":338,"processed_home_office":20,"processed_salary_min":339,"processed_salary_max":340,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":341,"processed_employment_types":27,"processed_it_skills":342,"processed_it_skills_labels":343,"processed_job_expertise_skills":349,"processed_job_expertise_skills_labels":350,"max_cpc":69,"actual_cpc":70},66890,"technical-product-owner-ai-amp-machine-learning-solutions-the-toronto-dominion-bank-canada","Technical Product Owner - AI & Machine Learning Solutions",{"name":216,"slug":217,"logo_url":11},[17],[19],140000,240000,[26],{"sql":29,"ci\u002Fcd":30,"mlops":29,"python":29,"observability":30,"version control":30,"automated testing":30,"deployment automation":30,"cloud-native architecture":30},[32,33,250,285,344,345,346,347,348],"Cloud-native architecture","Version control","Automated testing","Observability","Deployment automation",{"ai governance":30,"deep learning":29,"generative ai":29,"responsible ai":30,"data engineering":29,"machine learning":29,"model evaluation":29,"retrieval systems":29,"product management":29,"large language models":29,"model risk management":30,"technical architecture":29,"time series forecasting":30},[41,158,63,225,129,307,351,352,353,305,354,355,57],"AI Governance","Product Management","Technical Architecture","Retrieval Systems","Time Series Forecasting",{"id":357,"slug":358,"title":359,"raw_title":11,"is_featured":12,"company":360,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":361,"processed_country_iso_code_gmaps":362,"processed_home_office":20,"processed_salary_min":339,"processed_salary_max":363,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":364,"processed_employment_types":27,"processed_it_skills":365,"processed_it_skills_labels":366,"processed_job_expertise_skills":370,"processed_job_expertise_skills_labels":371,"max_cpc":69,"actual_cpc":70},66819,"research-machine-learning-scientist-the-toronto-dominion-bank-canada","Research Machine Learning Scientist",{"name":216,"slug":217,"logo_url":11},[17],[19],250000,[26],{"jax":29,"sql":30,"spark":30,"pytorch":29,"tensorflow":29,"gpu computing":29,"cloud computing (azure\u002Faws)":30},[115,114,367,190,33,368,369],"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},[41,158,63,355,127,372,373,374],"LLM Post-training","Research","Publication Record",{"id":376,"slug":377,"title":378,"raw_title":11,"is_featured":12,"company":379,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":380,"processed_country_iso_code_gmaps":381,"processed_home_office":20,"processed_salary_min":296,"processed_salary_max":382,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":383,"processed_employment_types":27,"processed_it_skills":384,"processed_it_skills_labels":385,"processed_job_expertise_skills":387,"processed_job_expertise_skills_labels":388,"max_cpc":69,"actual_cpc":70},65796,"machine-learning-engineer-ii-the-toronto-dominion-bank-canada","Machine Learning Engineer II",{"name":216,"slug":217,"logo_url":11},[17],[19],199500,[26],{"r":30,"sql":29,"mlops":29,"scala":30,"python":29,"data engineering":29,"machine learning":29,"cloud architecture":30,"software development":29},[32,386,33,191,128,285,41,129,130],"R",{"scrum":30,"data science":29,"generative ai":29,"responsible ai":30,"product adoption":30,"time series forecasting":30,"machine learning systems":29},[40,389,63,355,57,390,391],"Machine Learning Systems","Product Adoption","Scrum",{"total":393,"jobs":394},0,[],{"industry":396,"employment_type":406,"expertise_skills":409,"it_skills":465,"salary_currency":529,"processed_working_hours":532},[397,399,403],{"key":398,"label":234,"count":5},"financial services",{"key":400,"label":401,"count":402},"banking","Banking",8,{"key":404,"label":405,"count":69},"insurance","Insurance",[407],{"key":27,"label":408,"count":5},"PERMANENT",[410,413,416,419,421,423,426,428,430,432,434,436,439,441,443,445,447,450,452,454,456,458,460,463],{"key":411,"label":412,"slug":411,"count":5},"generative-ai","Generative Ai",{"key":414,"label":41,"slug":414,"count":415},"machine-learning",7,{"key":417,"label":127,"slug":417,"count":418},"reinforcement-learning",5,{"key":420,"label":158,"slug":420,"count":418},"deep-learning",{"key":422,"label":97,"slug":422,"count":29},"data-modeling",{"key":424,"label":425,"slug":424,"count":29},"agentic-ai","Agentic Ai",{"key":427,"label":157,"slug":427,"count":30},"algorithmic-trading",{"key":429,"label":355,"slug":429,"count":30},"time-series-forecasting",{"key":431,"label":156,"slug":431,"count":30},"time-series-analysis",{"key":433,"label":160,"slug":433,"count":30},"trading-strategies",{"key":435,"label":129,"slug":435,"count":30},"data-engineering",{"key":437,"label":438,"slug":437,"count":30},"responsible-ai","Responsible Ai",{"key":440,"label":155,"slug":440,"count":30},"statistical-modeling",{"key":442,"label":161,"slug":442,"count":30},"financial-data-formats",{"key":444,"label":232,"slug":444,"count":85},"causal-inference",{"key":446,"label":258,"slug":446,"count":85},"data-mapping",{"key":448,"label":449,"slug":448,"count":85},"ai-concepts","Ai Concepts",{"key":451,"label":307,"slug":451,"count":85},"model-risk-management",{"key":453,"label":256,"slug":453,"count":85},"data-analysis",{"key":455,"label":45,"slug":455,"count":85},"predictive-modeling",{"key":457,"label":46,"slug":457,"count":85},"feature-engineering",{"key":459,"label":231,"slug":459,"count":85},"anomaly-detection",{"key":461,"label":462,"slug":461,"count":85},"retrieval-augmented-generation-rag","Retrieval-Augmented Generation (Rag)",{"key":464,"label":260,"slug":464,"count":85},"prompt-engineering",[466,469,472,474,476,479,482,485,487,489,492,494,497,500,503,506,509,511,514,516,518,520,523,526],{"key":467,"label":32,"slug":467,"count":468},"python",13,{"key":470,"label":33,"slug":470,"count":471},"sql",10,{"key":473,"label":190,"slug":473,"count":29},"spark",{"key":475,"label":191,"slug":475,"count":29},"scala",{"key":477,"label":478,"slug":477,"count":30},"mlops","Mlops",{"key":480,"label":481,"slug":480,"count":30},"ms-azure","MS Azure",{"key":483,"label":484,"slug":483,"count":30},"mlops-tools","Mlops Tools",{"key":486,"label":150,"slug":486,"count":30},"bloomberg",{"key":488,"label":152,"slug":488,"count":30},"thomson-reuters",{"key":490,"label":491,"slug":490,"count":30},"factset","Factset",{"key":493,"label":147,"slug":493,"count":30},"cloud-technologies",{"key":495,"label":496,"slug":495,"count":30},"aws","Aws",{"key":498,"label":499,"slug":498,"count":85},"nosql","Nosql",{"key":501,"label":502,"slug":501,"count":85},"aws-glue","Aws Glue",{"key":504,"label":505,"slug":504,"count":85},"cicd","Ci\u002FCd",{"key":507,"label":508,"slug":507,"count":85},"gcp","Gcp",{"key":510,"label":195,"slug":510,"count":85},"hadoop",{"key":512,"label":513,"slug":512,"count":85},"jira","Jira",{"key":515,"label":148,"slug":515,"count":85},"machine-learning-frameworks",{"key":517,"label":35,"slug":517,"count":85},"machine-learning-libraries",{"key":519,"label":196,"slug":519,"count":85},"netezza",{"key":521,"label":522,"slug":521,"count":85},"pyspark","Pyspark",{"key":524,"label":525,"slug":524,"count":85},"pytorch","Pytorch",{"key":527,"label":528,"slug":527,"count":85},"sas","Sas",[530,531],{"key":23,"label":23,"count":468},{"key":185,"label":185,"count":69},[533],{"key":26,"label":26,"count":5}]