{"schemaVersion":"jobsearcher.job.v1","id":"3ff9a7b7b6ce42db19e3a862","url":"https://jobsearcher.com/jobs/3ff9a7b7b6ce42db19e3a862","canonicalUrl":"https://jobsearcher.com/jobs/3ff9a7b7b6ce42db19e3a862","title":"Machine Learning Engineer","description":"Job Description\n\nMachine Learning Engineer (Generative AI & Cloud)\r\nWe are seeking a talented and experienced Machine Learning Engineer. In this role, you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges. You will bridge the gap between data science and software engineering, taking models from concept to production and ensuring they are robust, scalable, and impactful. You'll work with a modern tech stack centered on Python, Google Cloud Platform, and the latest in LLM technology.\r\nResponsibilities\r\nGenerative AI Development:\r\nDesign, develop, and fine-tune Generative AI solutions using models like Google's Gemini for tasks such as information extraction, document summarization, and report generation.\r\nArchitect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable, context-aware responses.\r\nResearch and apply emerging GenAI techniques, such as agentic frameworks, to build more autonomous and capable systems.\r\nEnd-to-End Machine Learning:\r\nDesign and deploy a wide range of ML models (classification, regression, forecasting, etc.) on Google Cloud Platform.\r\nBuild and maintain robust, automated MLOps pipelines for data preprocessing, feature engineering, model training, validation, and deployment using tools like Vertex AI, BigQuery. etc.\r\nConduct deep data analysis to uncover insights, validate hypotheses, and guide feature engineering for improved model performance.\r\nCollaboration & Strategy:\r\nPartner closely with data scientists, software engineers, and other business stakeholders to frame problem statements, define technical requirements and deliver integrated AI/ML solutions.\r\nChampion best practices in software engineering and MLOps to ensure the quality, maintainability, and scalability of our machine learning systems.\r\nContinuously evaluate and stay current with the latest advancements in the ML and GenAI landscape.\r\nRequired Qualifications\r\nExperience: 3 years of professional experience building and deploying machine learning models in a production environment.\r\nEducation: Bachelor's degree in computer science, Data Science, Statistics, or a related quantitative field.\r\nProgramming: Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas).\r\nData & SQL: Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.\r\nGenerative AI: Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini).\r\nCloud Platform: Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (GCP).\r\nMLOps: Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD).\r\nPreferred Qualifications (Nice-to-Haves):\r\nMaster's or PhD in a relevant field.\r\nSpecific experience with GCP services like Vertex AI, BigQuery, Google Cloud Storage, and GKE.\r\nExperience building RAG systems from the ground up.\r\nProven ability to lead technical projects and mentor other engineers.","company":"TechDigital","rawCompany":"techdigital","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-03T01:55:55.951Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Job Description\n\nMachine Learning Engineer (Generative AI & Cloud)\r\nWe are seeking a talented and experienced Machine Learning Engineer. In this role, you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges. You will bridge the gap between data science and software engineering, taking models from concept to production and ensuring they are robust, scalable, and impactful. You'll work with a modern tech stack centered on Python, Google Cloud Platform, and the latest in LLM technology.\r\nResponsibilities\r\nGenerative AI Development:\r\nDesign, develop, and fine-tune Generative AI solutions using models like Google's Gemini for tasks such as information extraction, document summarization, and report generation.\r\nArchitect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable, context-aware responses.\r\nResearch and apply emerging GenAI techniques, such as agentic frameworks, to build more autonomous and capable systems.\r\nEnd-to-End Machine Learning:\r\nDesign and deploy a wide range of ML models (classification, regression, forecasting, etc.) on Google Cloud Platform.\r\nBuild and maintain robust, automated MLOps pipelines for data preprocessing, feature engineering, model training, validation, and deployment using tools like Vertex AI, BigQuery. etc.\r\nConduct deep data analysis to uncover insights, validate hypotheses, and guide feature engineering for improved model performance.\r\nCollaboration & Strategy:\r\nPartner closely with data scientists, software engineers, and other business stakeholders to frame problem statements, define technical requirements and deliver integrated AI/ML solutions.\r\nChampion best practices in software engineering and MLOps to ensure the quality, maintainability, and scalability of our machine learning systems.\r\nContinuously evaluate and stay current with the latest advancements in the ML and GenAI landscape.\r\nRequired Qualifications\r\nExperience: 3 years of professional experience building and deploying machine learning models in a production environment.\r\nEducation: Bachelor's degree in computer science, Data Science, Statistics, or a related quantitative field.\r\nProgramming: Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas).\r\nData & SQL: Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.\r\nGenerative AI: Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini).\r\nCloud Platform: Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (GCP).\r\nMLOps: Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD).\r\nPreferred Qualifications (Nice-to-Haves):\r\nMaster's or PhD in a relevant field.\r\nSpecific experience with GCP services like Vertex AI, BigQuery, Google Cloud Storage, and GKE.\r\nExperience building RAG systems from the ground up.\r\nProven ability to lead technical projects and mentor other engineers.","datePosted":"2026-11-03T01:55:55.951Z","dateModified":"2026-11-03T01:55:55.951Z","hiringOrganization":{"@type":"Organization","name":"TechDigital","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3ff9a7b7b6ce42db19e3a862"},"url":"https://jobsearcher.com/jobs/3ff9a7b7b6ce42db19e3a862"}}