Machine Learning Engineer

MLOps Engineer - AI InfrastructureLocation: Bay Area About the RoleWe are looking for a highly skilled MLOps Engineer with deep expertise in AI infrastructure. You will be responsible for designing, deploying, and optimizing scalable machine learning (ML) pipelines, ensuring efficient model deployment and monitoring in production environments. Key ResponsibilitiesDesign and implement scalable MLOps pipelines for model training, deployment, and monitoring.Develop and manage CICD pipelines for machine learning workflows.Optimize cloud-based and on-prem AI infrastructure to support high-performance ML workloads.Automate model serving, versioning, and rollback strategies for production deployments.Leverage Kubernetes, Docker, and cloud services (AWS, GCP, or Azure) to scale AI workloads.Requirements3+ years of experience in MLOps or AI infrastructure engineering.Strong proficiency in Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure).Experience with ML model deployment frameworks (TensorFlow Serving, TorchServe, Triton Inference Server).Hands-on experience with CICD pipelines Proficiency in Python

Created: 2025-02-21