[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-ray-us":3,"job-search-\u002Fen-us\u002Fjobs-by-skill\u002Fray":4,"skill-page-filters-\u002Fen-us\u002Fjobs-by-skill\u002Fray":170,"featured-jobs-\u002Fen-us\u002Fjobs-by-skill\u002Fray":293},{},{"total":5,"jobs":6},4,[7,78,112,156],{"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":30,"processed_job_expertise_skills":56,"processed_job_expertise_skills_labels":57,"max_cpc":76,"actual_cpc":77},83781,"senior-machine-learning-engineer-fraud-risk-modeling-government-employees-insurance-company","Senior Machine Learning Engineer, Fraud Risk Modeling",null,false,{"name":14,"slug":15,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[17],"Palo Alto",[19],"US","hybrid",115000,230000,"USD","estimated",[26],"FULL_TIME","permanent",{"c#":5,"aws":5,"c++":5,"gcp":5,"git":5,"ray":5,"java":5,"azure":5,"kafka":5,"spark":5,"docker":5,"python":5,"airflow":5,"mongodb":5,"pytorch":5,"temporal":5,"cassandra":5,"snowflake":5,"kubernetes":5,"postgresql":5,"tensorflow":5,"scikit-learn":5,"aws sagemaker":29,"gcp ai platform":29,"azure machine learning":29},3,[31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55],"Python","Java","C++","C#","TensorFlow","PyTorch","Scikit-learn","AWS","Azure","GCP","Docker","Kubernetes","Git","Snowflake","Kafka","PostgreSQL","MongoDB","Cassandra","Spark","Ray","Airflow","Temporal","AWS SageMaker","GCP AI Platform","Azure Machine Learning",{"mlops":5,"deep learning":5,"system design":5,"design patterns":5,"machine learning":5,"model deployment":5,"agile methodologies":29,"distributed systems":5,"real-time inference":29,"gpu\u002Ftpu optimization":29,"serverless computing":29,"software engineering":5,"fault-tolerant systems":5,"object-oriented design":5,"reinforcement learning":5,"performance optimization":5,"low-latency model serving":29,"natural language processing":5},[58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75],"Machine Learning","Deep Learning","Reinforcement Learning","Natural Language Processing","Software Engineering","System Design","MLOps","Distributed Systems","Object-Oriented Design","Design Patterns","Agile Methodologies","Model Deployment","Performance Optimization","Fault-Tolerant Systems","Real-Time Inference","Low-Latency Model Serving","Serverless Computing","GPU\u002FTPU Optimization",1,1.5,{"id":79,"slug":80,"title":81,"raw_title":11,"is_featured":12,"company":82,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":83,"processed_country_iso_code_gmaps":84,"processed_home_office":20,"processed_salary_min":85,"processed_salary_max":86,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":87,"processed_employment_types":27,"processed_it_skills":88,"processed_it_skills_labels":89,"processed_job_expertise_skills":103,"processed_job_expertise_skills_labels":104,"max_cpc":76,"actual_cpc":77},83790,"senior-staff-machine-learning-engineer-government-employees-insurance-company-2","Senior Staff Machine Learning Engineer",{"name":14,"slug":15,"logo_url":11},[17],[19],150000,300000,[26],{"c#":5,"aws":5,"c++":5,"ray":5,"java":5,"azure":5,"kafka":5,"python":5,"qdrant":5,"mongodb":5,"testing":5,"temporal":5,"cassandra":5,"snowflake":5,"kubernetes":5,"postgresql":5,"apache spark":5,"elasticsearch":5,"generative ai":5,"apache airflow":5,"ci\u002Fcd pipelines":5,"version control":5,"context management":5,"production support":5,"monitoring & alerting":5,"robotic process automation":5,"llms (gpt, llama, mistral, claude)":5},[32,33,31,34,90,91,44,45,46,47,48,92,50,93,52,94,95,96,97,42,98,99,100,39,38,101,102],"Elasticsearch","Qdrant","Apache Spark","Apache Airflow","Robotic Process Automation","Context Management","Version Control","CI\u002FCD Pipelines","Testing","Monitoring & Alerting","Production Support","LLMs (GPT, Llama, Mistral, Claude)","Generative AI",{"system design":5,"cloud architecture":5,"software development":5,"technical roadmapping":5,"generative ai workflows":5,"engineering best practices":5,"ai\u002Fml platform architecture":5,"software development life cycle management":5},[105,106,63,107,108,109,110,111],"Software Development","AI\u002FML Platform Architecture","Software Development Life Cycle Management","Cloud Architecture","Generative AI Workflows","Technical Roadmapping","Engineering Best Practices",{"id":113,"slug":114,"title":115,"raw_title":11,"is_featured":12,"company":116,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":117,"processed_country_iso_code_gmaps":118,"processed_home_office":20,"processed_salary_min":119,"processed_salary_max":120,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":121,"processed_employment_types":27,"processed_it_skills":122,"processed_it_skills_labels":123,"processed_job_expertise_skills":145,"processed_job_expertise_skills_labels":146,"max_cpc":76,"actual_cpc":77},83771,"distinguished-engineer-ai-applications-government-employees-insurance-company","Distinguished Engineer, AI Applications",{"name":14,"slug":15,"logo_url":11},[17],[19],210000,350000,[26],{"aws":5,"rag":5,"ray":5,"sql":29,"llms":5,"azure":5,"ci\u002Fcd":5,"kafka":5,"spark":5,"milvus":5,"python":5,"qdrant":5,"airflow":5,"prefect":5,"pinecone":5,"temporal":5,"weaviate":5,"langchain":5,"langsmith":5,"snowflake":5,"kubernetes":5,"llamaindex":5,"arize phoenix":5,"elasticsearch":5,"generative ai":5,"opentelemetry":5,"feature stores":5,"nosql databases":5,"vector databases":5,"weights & biases":5,"agentic frameworks":5,"embedding pipelines":5,"multi-agent systems":5,"relational databases":5},[31,124,90,91,125,126,127,44,128,45,49,50,51,52,129,130,131,132,133,134,135,136,42,38,39,137,102,138,139,140,141,142,143,144],"SQL","Milvus","Pinecone","Weaviate","NoSQL databases","Prefect","LangChain","LlamaIndex","LangSmith","Arize Phoenix","Weights & Biases","OpenTelemetry","CI\u002FCD","LLMs","RAG","Agentic frameworks","Multi-agent systems","Vector databases","Embedding pipelines","Feature stores","Relational databases",{"roadmapping":5,"system design":5,"technical strategy":5,"production operations":5,"technology evaluation":5,"build vs. buy analysis":5,"enterprise architecture":5,"business impact assessment":5,"ai\u002Fml platform architecture":5,"software development lifecycle":5,"generative ai application development":5},[147,106,148,149,63,150,151,152,153,154,155],"Enterprise Architecture","Generative AI Application Development","Technical Strategy","Technology Evaluation","Software Development Lifecycle","Production Operations","Build vs. Buy Analysis","Roadmapping","Business Impact Assessment",{"id":157,"slug":158,"title":81,"raw_title":11,"is_featured":12,"company":159,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":160,"processed_country_iso_code_gmaps":161,"processed_home_office":20,"processed_salary_min":85,"processed_salary_max":86,"processed_salary_currency":23,"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":76,"actual_cpc":77},83789,"senior-staff-machine-learning-engineer-government-employees-insurance-company",{"name":14,"slug":15,"logo_url":11},[17],[19],[26],{"c#":5,"aws":5,"c++":5,"ray":5,"java":5,"azure":5,"kafka":5,"python":5,"qdrant":5,"mongodb":5,"testing":5,"temporal":5,"cassandra":5,"snowflake":5,"kubernetes":5,"postgresql":5,"apache spark":5,"elasticsearch":5,"apache airflow":5,"ci\u002Fcd pipelines":5,"version control":5,"production support":5,"monitoring & alerting":5,"robotic process automation":5,"llms (gpt, llama, mistral, claude)":5},[32,33,31,34,90,91,44,45,46,47,48,92,50,93,52,94,96,97,42,98,99,100,39,38,101],{"system design":5,"team leadership":5,"troubleshooting":5,"cloud architecture":5,"technical roadmapping":5,"generative ai technologies":5,"ai\u002Fml platform architecture":5,"software development life cycle management":5},[106,107,108,167,63,110,168,169],"Generative AI Technologies","Team Leadership","Troubleshooting",{"industry":171,"employment_type":175,"expertise_skills":178,"it_skills":235,"salary_currency":289,"processed_working_hours":291},[172],{"key":173,"label":174,"count":5},"insurance","Insurance",[176],{"key":27,"label":177,"count":5},"PERMANENT",[179,181,184,187,189,191,193,195,197,199,202,204,206,209,211,213,216,218,221,223,225,228,230,232],{"key":180,"label":63,"slug":180,"count":5},"system-design",{"key":182,"label":183,"slug":182,"count":29},"aiml-platform-architecture","Ai\u002FMl Platform Architecture",{"key":185,"label":107,"slug":185,"count":186},"software-development-life-cycle-management",2,{"key":188,"label":108,"slug":188,"count":186},"cloud-architecture",{"key":190,"label":110,"slug":190,"count":186},"technical-roadmapping",{"key":192,"label":149,"slug":192,"count":76},"technical-strategy",{"key":194,"label":61,"slug":194,"count":76},"natural-language-processing",{"key":196,"label":168,"slug":196,"count":76},"team-leadership",{"key":198,"label":155,"slug":198,"count":76},"business-impact-assessment",{"key":200,"label":201,"slug":200,"count":76},"mlops","Mlops",{"key":203,"label":169,"slug":203,"count":76},"troubleshooting",{"key":205,"label":151,"slug":205,"count":76},"software-development-lifecycle",{"key":207,"label":208,"slug":207,"count":76},"build-vs-buy-analysis","Build Vs. Buy Analysis",{"key":210,"label":150,"slug":210,"count":76},"technology-evaluation",{"key":212,"label":68,"slug":212,"count":76},"agile-methodologies",{"key":214,"label":215,"slug":214,"count":76},"generative-ai-technologies","Generative Ai Technologies",{"key":217,"label":71,"slug":217,"count":76},"fault-tolerant-systems",{"key":219,"label":220,"slug":219,"count":76},"gputpu-optimization","Gpu\u002FTpu Optimization",{"key":222,"label":69,"slug":222,"count":76},"model-deployment",{"key":224,"label":147,"slug":224,"count":76},"enterprise-architecture",{"key":226,"label":227,"slug":226,"count":76},"generative-ai-application-development","Generative Ai Application Development",{"key":229,"label":105,"slug":229,"count":76},"software-development",{"key":231,"label":72,"slug":231,"count":76},"real-time-inference",{"key":233,"label":234,"slug":233,"count":76},"generative-ai-workflows","Generative Ai Workflows",[236,238,240,242,244,247,249,251,254,256,259,261,263,265,268,269,271,273,275,277,279,282,284,287],{"key":237,"label":50,"slug":237,"count":5},"ray",{"key":239,"label":52,"slug":239,"count":5},"temporal",{"key":241,"label":45,"slug":241,"count":5},"kafka",{"key":243,"label":44,"slug":243,"count":5},"snowflake",{"key":245,"label":246,"slug":245,"count":5},"ms-azure","MS Azure",{"key":248,"label":31,"slug":248,"count":5},"python",{"key":250,"label":42,"slug":250,"count":5},"kubernetes",{"key":252,"label":253,"slug":252,"count":5},"aws","Aws",{"key":255,"label":48,"slug":255,"count":29},"cassandra",{"key":257,"label":258,"slug":257,"count":29},"postgresql","Postgresql",{"key":260,"label":34,"slug":260,"count":29},"c",{"key":262,"label":90,"slug":262,"count":29},"elasticsearch",{"key":264,"label":91,"slug":264,"count":29},"qdrant",{"key":266,"label":267,"slug":266,"count":29},"mongodb","Mongodb",{"key":260,"label":33,"slug":260,"count":29},{"key":270,"label":32,"slug":270,"count":29},"java",{"key":272,"label":100,"slug":272,"count":186},"production-support",{"key":274,"label":51,"slug":274,"count":186},"airflow",{"key":276,"label":96,"slug":276,"count":186},"version-control",{"key":278,"label":98,"slug":278,"count":186},"testing",{"key":280,"label":281,"slug":280,"count":186},"llms-gpt-llama-mistral-claude","Llms (Gpt, Llama, Mistral, Claude)",{"key":283,"label":94,"slug":283,"count":186},"robotic-process-automation",{"key":285,"label":286,"slug":285,"count":186},"cicd-pipelines","Ci\u002FCd Pipelines",{"key":288,"label":92,"slug":288,"count":186},"apache-spark",[290],{"key":23,"label":23,"count":5},[292],{"key":26,"label":26,"count":5},{"total":294,"jobs":295},0,[]]