Senior ML Ops Engineer

Description

Job Summary: We are seeking a Freelance MLOps Specialist to automate, deploy, monitor, and scale machine learning models in production environments. Key Highlights: 1. Lead end-to-end MLOps strategy and architecture. 2. Proficiency in Vertex AI, Kubeflow, MLflow, TFX, expert Python, and advanced CI/CD. 3. Experience leading ML platforms in production. **Description:** ---------------- We are looking for a Freelance MLOps Specialist to join various challenging and high-impact projects at uCloud. We are building our own exclusive talent pool to connect with the top professionals in the industry. 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:** --------------- Lead end\-to\-end ML Ops strategy and architecture, ensuring scalability and ML governance across the organization. * Design comprehensive ML Ops architectures. * Define governance, versioning, and monitoring standards. * Resolve critical incidents and scale models. * Provide technical guidance to teams and leadership. Stack: Proficiency in Vertex AI, Kubeflow, MLflow, TFX, expert Python, and advanced CI/CD. Experience: \+7 years leading ML platforms in production.