MLOps Engineer: Location: Bay Area

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., Google Cloud Platform, AWS, Azure). Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining. Monitor model performance using observability tools and ensure compl

Title: Scientific Computing Platform Engineer Location: LA / Remote Type: Contract Job Description : Science Vault is currently a working but mostly manual data publishing workflow for research/scientific computing data. It publishes data from ASC/Cluster environments into an S3-backed, read-only storage model with metadata capture, access through Client website and controls tied to Okta, AD groups, and S3 permissions. The immediate need is someone who can own the closing engineering work

Hi , Job Title: MLops Engineer Job Type: C2C Location: Concord CA (Onsite) (In-person Interview Must) Overview Tachyon Cortex Machine Learning 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., Google Cloud Platform, AWS, Azure).Implement CI/CD workflows for mode

Role:Senior MLOps Engineer Location:Sunnyvale, CA (Onsite - 3 days/week) Duration: 6 months contract Job Description: We are seeking a Senior MLOps Engineer with strong expertise in Python, Kubernetes, AWS EKS, and Linux administration to design, automate, and maintain scalable machine learning infrastructure. The ideal candidate will have hands-on experience building production-grade ML platforms, automating deployments, managing containerized environments, and supporting end-to-end ML op