{"schemaVersion":"jobsearcher.job.v1","id":"aeff8bb32e767042a82aa340","url":"https://jobsearcher.com/jobs/aeff8bb32e767042a82aa340","canonicalUrl":"https://jobsearcher.com/jobs/aeff8bb32e767042a82aa340","title":"Google Cloud ML Engineer","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs-PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs-PortalContact UsJob DescriptionJob OverviewJob ID:J52565Job Title:Google Cloud ML EngineerLocation:Dallas, TXDuration:10 Months + ExtensionHourly Rate:Depending on Experience (DOE)Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B,H4-EAD, L2-EAD, GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsGoogle Cloud Platform Cloud Integration Engineer - Dallas, TXSr. Google Cloud Platform Data engineer /Google Cloud Platform Architect - Atlanta, GAGoogle Cloud Platform Architect - Richmond, VACloud Architect- Multi Cloud AWS, Azure, Google Cloud Platform - Atlanta, GACloud Architect- Multi Cloud AWS, Azure, Google Cloud Platform - Atlanta, GAArchitect, design, and develop scalable chat Virtual Agent frameworks using Google Vertex AI (Agent Engine, ADK).Build, customize, and optimize chatbots and conversational flows with Dialogflow CX/ES (intent detection, context management, slot filling, rich fulfillment).Apply NLP, LLM, and GenAI models on Vertex AI for advanced chatbot capabilities (summarization, entity extraction, response generation).Develop and maintain cloud-native chat Virtual Agent solutions using GCP services (CCAI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, BigQuery).Train, fine-tune, and deploy custom LLMs, transformer models, and RAG pipelines.Implement MLOps best practices (Vertex AI Pipelines, Docker, Kubernetes, CI/CD workflows).Develop REST APIs, gRPC, and JSON-based integrations for seamless system communication.Required Qualifications6+ years in software development (4+ years in NLP/NLU for chat).Advanced Python skills with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.Proficiency in GCP services and cloud-native architectures.Strong MLOps knowledge (Docker, Kubernetes, CI/CD, Git).Experience with Agent Assist functionality is a plus.Preferred QualificationsMaster’s/PhD in Computer Science, AI/ML, or related field.GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).Experience with GenAI frameworks (PaLM, Gemini).Integration with CRM, knowledge bases, and live agent systems.Knowledge of security and compliance in conversational AI.Soft SkillsExcellent communication and collaboration.Strong ownership and end-to-end project delivery.Leadership in cross-functional environments.Team leading and management skills.Apply NowEqual Opportunity EmployerMACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contractHome|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.","company":"Machine Learning Technologies","rawCompany":"machine learning technologies","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-01T11:02:19.720Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Google Cloud ML Engineer","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs-PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs-PortalContact UsJob DescriptionJob OverviewJob ID:J52565Job Title:Google Cloud ML EngineerLocation:Dallas, TXDuration:10 Months + ExtensionHourly Rate:Depending on Experience (DOE)Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B,H4-EAD, L2-EAD, GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsGoogle Cloud Platform Cloud Integration Engineer - Dallas, TXSr. Google Cloud Platform Data engineer /Google Cloud Platform Architect - Atlanta, GAGoogle Cloud Platform Architect - Richmond, VACloud Architect- Multi Cloud AWS, Azure, Google Cloud Platform - Atlanta, GACloud Architect- Multi Cloud AWS, Azure, Google Cloud Platform - Atlanta, GAArchitect, design, and develop scalable chat Virtual Agent frameworks using Google Vertex AI (Agent Engine, ADK).Build, customize, and optimize chatbots and conversational flows with Dialogflow CX/ES (intent detection, context management, slot filling, rich fulfillment).Apply NLP, LLM, and GenAI models on Vertex AI for advanced chatbot capabilities (summarization, entity extraction, response generation).Develop and maintain cloud-native chat Virtual Agent solutions using GCP services (CCAI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, BigQuery).Train, fine-tune, and deploy custom LLMs, transformer models, and RAG pipelines.Implement MLOps best practices (Vertex AI Pipelines, Docker, Kubernetes, CI/CD workflows).Develop REST APIs, gRPC, and JSON-based integrations for seamless system communication.Required Qualifications6+ years in software development (4+ years in NLP/NLU for chat).Advanced Python skills with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.Proficiency in GCP services and cloud-native architectures.Strong MLOps knowledge (Docker, Kubernetes, CI/CD, Git).Experience with Agent Assist functionality is a plus.Preferred QualificationsMaster’s/PhD in Computer Science, AI/ML, or related field.GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).Experience with GenAI frameworks (PaLM, Gemini).Integration with CRM, knowledge bases, and live agent systems.Knowledge of security and compliance in conversational AI.Soft SkillsExcellent communication and collaboration.Strong ownership and end-to-end project delivery.Leadership in cross-functional environments.Team leading and management skills.Apply NowEqual Opportunity EmployerMACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contractHome|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.","datePosted":"2026-07-01T11:02:19.720Z","dateModified":"2026-07-01T11:02:19.720Z","hiringOrganization":{"@type":"Organization","name":"Machine Learning Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"aeff8bb32e767042a82aa340"},"url":"https://jobsearcher.com/jobs/aeff8bb32e767042a82aa340"}}