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Senior ML Ops Engineer

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelNo experience limit
Education levelNo degree limit

Description

Job Summary: We are seeking a Freelance MLOps Specialist for challenging projects at uCloud, automating, deploying, monitoring, and scaling ML models. Key Highlights: 1. Lead end-to-end ML Ops strategy and architecture 2. Expertise in Vertex AI, Kubeflow, MLflow, TFX, and advanced Python 3. Experience leading ML platforms in production **Description:** ---------------- We are looking for a Freelance MLOps Specialist to join various high-impact, challenging 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:** --------------- 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 advisory support to teams and leadership. Stack: Expertise in Vertex AI, Kubeflow, MLflow, TFX, advanced Python, and advanced CI/CD. Experience: \+7 years leading ML platforms in production.

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Posted by

Valentina Rodríguez

Indeed · HR

Location

Valentina Rodríguez

Indeed · HR

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