{"schemaVersion":"jobsearcher.job.v1","id":"9e4dd9534bca9ffe6ad522ea","url":"https://jobsearcher.com/jobs/9e4dd9534bca9ffe6ad522ea","canonicalUrl":"https://jobsearcher.com/jobs/9e4dd9534bca9ffe6ad522ea","title":"MLOps Engineer","description":"Job Title: MLOps Engineer Location: Bay Area (Hybrid) Job Type: Contract Overview Tachyon Predictive AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities • Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI. • Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure). • Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining. • Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability) • Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs • Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment Qualifications • 10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations. • Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). • Experience with cloud platforms and containerization (Docker, Kubernetes). • Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks. • Solid understanding of software engineering principles and DevOps practices. • Ability to communicate complex technical concepts to non-technical stakeholders.","company":"Arkhya Tech","rawCompany":"arkhya tech","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-27T10:17:39.685Z","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":"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":"MLOps Engineer","description":"Job Title: MLOps Engineer Location: Bay Area (Hybrid) Job Type: Contract Overview Tachyon Predictive AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities • Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI. • Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure). • Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining. • Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability) • Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs • Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment Qualifications • 10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations. • Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). • Experience with cloud platforms and containerization (Docker, Kubernetes). • Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks. • Solid understanding of software engineering principles and DevOps practices. • Ability to communicate complex technical concepts to non-technical stakeholders.","datePosted":"2026-04-27T10:17:39.685Z","dateModified":"2026-04-27T10:17:39.685Z","hiringOrganization":{"@type":"Organization","name":"Arkhya Tech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9e4dd9534bca9ffe6ad522ea"},"url":"https://jobsearcher.com/jobs/9e4dd9534bca9ffe6ad522ea"}}