{"schemaVersion":"jobsearcher.job.v1","id":"0a402ebeee09abcb8fe7b22b","url":"https://jobsearcher.com/jobs/0a402ebeee09abcb8fe7b22b","canonicalUrl":"https://jobsearcher.com/jobs/0a402ebeee09abcb8fe7b22b","title":"Machine Learning Engineer – MLOps & Cloud Data Engineering","description":"Location:Allen Park (MI)|Employment Type:Full Time - 40 hours per week|Job Level:T3|Work Preference:Hybrid|Job Code:245427\r\nJob Description:Overview / SummaryWe are seeking a Machine Learning Engineer II responsible for designing, building, deploying, and scaling complex machine learning solutions in areas such as computer vision, perception, and localization. This role will also focus on automating and optimizing the end-to-end machine learning model lifecycle using experimental methodologies, statistics, software development, and MLOps practices.\r\nThe position will work closely with business and technology stakeholders to develop machine learning models, scalable pipelines, cloud infrastructure, and production-ready AI solutions.\r\nKey ResponsibilitiesCollaborate with business and technology stakeholders to understand current and future machine learning requirements.\r\nDesign and develop innovative machine learning models and software algorithms to solve complex business problems in structured and unstructured environments.\r\nDesign, build, maintain, and optimize scalable machine learning pipelines, architecture, and infrastructure.\r\nApply machine learning and statistical modeling techniques, including decision trees, logistic regression, Bayesian analysis, and other methods, to develop and evaluate algorithms.\r\nApply machine learning to areas such as virtual reality, augmented reality, object detection, tracking, classification, and terrain mapping.\r\nTrain and retrain machine learning models and systems as required.\r\nDeploy machine learning models and algorithms into production and run simulations for algorithm development and testing.\r\nAutomate model deployment, training, and retraining using Agile methodology, CI/CD/CT (Continuous Integration, Continuous Deployment, and Continuous Training), and MLOps principles.\r\nEnable model management, versioning, and traceability to support modularity and consistency across environments and models.\r\nDesign, develop, test, and deploy knowledge graph solutions using cloud-native data pipelines.\r\nModel and evolve graph entities and relationships as new data sources are onboarded.\r\nDesign, build, and operate services that expose graph and event-store data as tools for consumers, including graph queries, event-store queries, and schema discovery.\r\nDefine tool contracts, context, and guardrails to support accurate, grounded responses from AI agents.\r\nSupport low-latency, secure, and cost-efficient serving for interactive and batch AI workloads.\r\nMonitor and maintain observability for data pipelines and AI services, including data freshness, pipeline health, query latency and cost, tool-call success rates, and answer quality.\r\nImplement SLOs, dashboards, alerting, and tracing while supporting incident response and continuous reliability improvements.\r\nPartner with data engineers and application data source owners to ingest and validate data.\r\nEstablish data contracts, schema validation, and data quality checks.\r\nSupport data onboarding, mapping to logical data models, and troubleshooting.\r\nContribute to data governance, cataloging, and lineage.\r\nRequired Qualifications7+ years of IT experience.\r\n3+ years of development experience.\r\n2+ years of experience in AI and graph engineering.\r\nExperience with at least one coding language or framework.\r\nStrong software engineering experience with Java and Python.\r\nExperience with production-grade testing, CI/CD, and code quality practices.\r\nExperience deploying data and AI systems to production on a GCP-native stack.\r\nExperience with GCP, BigQuery, Python, Java, cloud infrastructure, and artificial intelligence/expert systems.\r\nExperience with cloud technologies including Vertex AI, BigQuery, Dataflow/Apache Beam, Pub/Sub, Cloud Run/GKE, Cloud Storage, and Cloud Build/Artifact Registry.\r\nExperience with graph data modeling and querying, including property graphs and GQL/graph query patterns.\r\nExperience with Vertex AI, including agents, model serving, embeddings, and evaluation of agent answer quality.\r\nExperience building LLM/agent systems, including tool use, RAG/grounding, and integrating models through APIs.\r\nFamiliarity with MCP or comparable agent tool protocols.\r\nExperience with observability, including Cloud Monitoring/Logging, OpenTelemetry, SLOs, dashboards, and alerting for data pipelines and services.\r\nExperience with Infrastructure as Code using Terraform.\r\nExperience with secure-by-default engineering practices, including IAM, least privilege, and secrets management.\r\nAbility to work directly with data producers to model and validate real-world industrial or enterprise data.\r\nPreferred QualificationsFamiliarity with Dataplex/Data Catalog for governance, lineage, and business glossaries.\r\nExperience with streaming/CDC and event-driven architectures.\r\nExperience with append-only or event-sourced data modeling.\r\nExperience designing and building user-facing applications and dashboards that surface knowledge graph data.\r\nDomain exposure to PLM/product development, manufacturing execution, quality, or supply-chain systems and data.\r\nExperience with data quality frameworks and schema evolution.\r\nExperience with blue-green or zero-downtime data deployments.\r\nWork ArrangementWhat Makes HTC A Great Place To Build Your Future\r\nHTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.\r\nAt HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.\r\nOur success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.\r\nAt HTC Global Services, our culture is an embodiment of who we are – a value-led organizationcommitted to success of our people and customers.\r\nHybrid and Workplace flexibility\r\nWork-Life-Balance\r\nWell-defined career development plan\r\nRewards & Recognition program\r\nL&D focuses on upskilling\r\nHands-on experience on Emerging Technologies and Digital Transformation\r\nCareer Mobility programs#J-18808-Ljbffr","company":"Htc Global","rawCompany":"htc global","city":"Allen Park","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-10-04T01:24:29.616Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer – MLOps & Cloud Data Engineering","description":"Location:Allen Park (MI)|Employment Type:Full Time - 40 hours per week|Job Level:T3|Work Preference:Hybrid|Job Code:245427\r\nJob Description:Overview / SummaryWe are seeking a Machine Learning Engineer II responsible for designing, building, deploying, and scaling complex machine learning solutions in areas such as computer vision, perception, and localization. This role will also focus on automating and optimizing the end-to-end machine learning model lifecycle using experimental methodologies, statistics, software development, and MLOps practices.\r\nThe position will work closely with business and technology stakeholders to develop machine learning models, scalable pipelines, cloud infrastructure, and production-ready AI solutions.\r\nKey ResponsibilitiesCollaborate with business and technology stakeholders to understand current and future machine learning requirements.\r\nDesign and develop innovative machine learning models and software algorithms to solve complex business problems in structured and unstructured environments.\r\nDesign, build, maintain, and optimize scalable machine learning pipelines, architecture, and infrastructure.\r\nApply machine learning and statistical modeling techniques, including decision trees, logistic regression, Bayesian analysis, and other methods, to develop and evaluate algorithms.\r\nApply machine learning to areas such as virtual reality, augmented reality, object detection, tracking, classification, and terrain mapping.\r\nTrain and retrain machine learning models and systems as required.\r\nDeploy machine learning models and algorithms into production and run simulations for algorithm development and testing.\r\nAutomate model deployment, training, and retraining using Agile methodology, CI/CD/CT (Continuous Integration, Continuous Deployment, and Continuous Training), and MLOps principles.\r\nEnable model management, versioning, and traceability to support modularity and consistency across environments and models.\r\nDesign, develop, test, and deploy knowledge graph solutions using cloud-native data pipelines.\r\nModel and evolve graph entities and relationships as new data sources are onboarded.\r\nDesign, build, and operate services that expose graph and event-store data as tools for consumers, including graph queries, event-store queries, and schema discovery.\r\nDefine tool contracts, context, and guardrails to support accurate, grounded responses from AI agents.\r\nSupport low-latency, secure, and cost-efficient serving for interactive and batch AI workloads.\r\nMonitor and maintain observability for data pipelines and AI services, including data freshness, pipeline health, query latency and cost, tool-call success rates, and answer quality.\r\nImplement SLOs, dashboards, alerting, and tracing while supporting incident response and continuous reliability improvements.\r\nPartner with data engineers and application data source owners to ingest and validate data.\r\nEstablish data contracts, schema validation, and data quality checks.\r\nSupport data onboarding, mapping to logical data models, and troubleshooting.\r\nContribute to data governance, cataloging, and lineage.\r\nRequired Qualifications7+ years of IT experience.\r\n3+ years of development experience.\r\n2+ years of experience in AI and graph engineering.\r\nExperience with at least one coding language or framework.\r\nStrong software engineering experience with Java and Python.\r\nExperience with production-grade testing, CI/CD, and code quality practices.\r\nExperience deploying data and AI systems to production on a GCP-native stack.\r\nExperience with GCP, BigQuery, Python, Java, cloud infrastructure, and artificial intelligence/expert systems.\r\nExperience with cloud technologies including Vertex AI, BigQuery, Dataflow/Apache Beam, Pub/Sub, Cloud Run/GKE, Cloud Storage, and Cloud Build/Artifact Registry.\r\nExperience with graph data modeling and querying, including property graphs and GQL/graph query patterns.\r\nExperience with Vertex AI, including agents, model serving, embeddings, and evaluation of agent answer quality.\r\nExperience building LLM/agent systems, including tool use, RAG/grounding, and integrating models through APIs.\r\nFamiliarity with MCP or comparable agent tool protocols.\r\nExperience with observability, including Cloud Monitoring/Logging, OpenTelemetry, SLOs, dashboards, and alerting for data pipelines and services.\r\nExperience with Infrastructure as Code using Terraform.\r\nExperience with secure-by-default engineering practices, including IAM, least privilege, and secrets management.\r\nAbility to work directly with data producers to model and validate real-world industrial or enterprise data.\r\nPreferred QualificationsFamiliarity with Dataplex/Data Catalog for governance, lineage, and business glossaries.\r\nExperience with streaming/CDC and event-driven architectures.\r\nExperience with append-only or event-sourced data modeling.\r\nExperience designing and building user-facing applications and dashboards that surface knowledge graph data.\r\nDomain exposure to PLM/product development, manufacturing execution, quality, or supply-chain systems and data.\r\nExperience with data quality frameworks and schema evolution.\r\nExperience with blue-green or zero-downtime data deployments.\r\nWork ArrangementWhat Makes HTC A Great Place To Build Your Future\r\nHTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.\r\nAt HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.\r\nOur success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.\r\nAt HTC Global Services, our culture is an embodiment of who we are – a value-led organizationcommitted to success of our people and customers.\r\nHybrid and Workplace flexibility\r\nWork-Life-Balance\r\nWell-defined career development plan\r\nRewards & Recognition program\r\nL&D focuses on upskilling\r\nHands-on experience on Emerging Technologies and Digital Transformation\r\nCareer Mobility programs#J-18808-Ljbffr","datePosted":"2026-10-04T01:24:29.616Z","dateModified":"2026-10-04T01:24:29.616Z","hiringOrganization":{"@type":"Organization","name":"Htc Global","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Allen Park","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0a402ebeee09abcb8fe7b22b"},"url":"https://jobsearcher.com/jobs/0a402ebeee09abcb8fe7b22b"}}