{"schemaVersion":"jobsearcher.job.v1","id":"b0aa213282dcfa5262b022ac","url":"https://jobsearcher.com/jobs/b0aa213282dcfa5262b022ac","canonicalUrl":"https://jobsearcher.com/jobs/b0aa213282dcfa5262b022ac","title":"Machine Learning Engineer","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob DescriptionJob OverviewJob ID:J52976Job Title:Machine Learning EngineerLocation:Dallas, TXDuration:12 Months + ExtensionDomain Exposure:Banking & FinanceWork 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 JobsMachine Learning Engineer - McLean, VAMachine Learning Engineer - Atlanta, GAMachine Learning, - Sunnyvale, CALead Machine Learning Engineer - McLean, VAMachine Learning Engineer - Plano, TXRequirementsExperience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine, Model Garden and Google Agent Development Kit (ADK).Hands-on experience in developing NLP and GenAI Models on Vertex AIProficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to AI Models.Required Qualifications5-7 years in software development (4+ in NLP/NLU for chat).Good to have an understanding on other GCP services and cloud-native architecturesPreferred QualificationsMaster’s/PhD in Computer Science, AI/ML, or related fieldMust have GCP Certification- Google Cloud Certified Professional Machine Learning EngineerExperience with GenAI frameworks (PaLM, Gemini)Integration with CRM, knowledge bases, and live agent systemsSoft SkillsExcellent communication and collaboration.Strong ownership and end-to-end project delivery.Leadership in cross-functional environments.Team Leading and Management.Apply NowEqual Opportunity EmployerWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. 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