MLops Engineer

Role: MLOps Engineer Location - Remote with occasional travel to Minneapolis Type: Fulltime Job Description We are seeking a talented and motivated MLOps Engineer to join our growing team. In this role, you will be responsible for building, deploying, and maintaining scalable machine learning systems and pipelines. You will collaborate closely with data scientists, software engineers, and stakeholders to ensure seamless integration of machine learning models into production environments. Key Responsibilities Design, develop, and maintain scalable ML pipelines and workflows.Deploy and monitor machine learning models in productionCollaborate with cross-functional teams to operationalize ML solutionsEnsure reliability, scalability, and performance of ML systemsImplement best practices for model versioning, monitoring, and governanceOptimize infrastructure and workflows for cost and efficiency Required Skills & Qualifications Strong proficiency in Python to implement Data Engineering pipelineHands-on experience with Google Cloud Platform (GCP)Experience working with Vertex AI and Cloud build.Strong knowledge of BigQuery sql.Experience with Docker and containerizationSolid understanding of machine learning concepts and lifecycle (Training to Serving)Maintaining and deploying model end points utilizing most optimal framework Preferred Skills Experience with FastAPI or similar frameworksKnowledge of model deployment strategies (batch and real-time)Familiarity with Kubernetes and Release management Experience 3-5 years of experience in MLOps, Machine Learning Engineering, or a related field