ML Ops Engineer S.Sr

Description

Job Summary: We are seeking an MLOps specialist freelancer for challenging projects at uCloud, automating, deploying, monitoring, and scaling Machine Learning models. Key Highlights: 1. Challenging and high-impact projects 2. Workplace flexibility 3. Passionate about GCP architecture **Description:** ---------------- We are looking for freelance MLOps specialists to join various challenging and high-impact projects at uCloud. We are building our own exclusive talent pool to connect with the industry’s top professionals. If you are passionate about GCP architecture and seek flexibility, apply now. Your objective will be to automate, deploy, monitor, and scale Machine Learning models in production environments, bridging the gap between development and operations. **Requirements:** --------------- Operationalize Machine Learning models in production, ensuring automation, stability, and quality. * Implementation of training and inference pipelines. * Automation of model deployments and versioning. * Monitoring of performance, drift, and quality. * Collaboration with Data Scientists and Data Engineers. Stack: Vertex AI, Kubeflow, MLflow, TFX, advanced Python, CI/CD, containers. Experience: 4–6 years of experience deploying ML models into production.