✨ The Role in One Sentence

Join sewts as an MLOps Engineer to design, build, and maintain scalable infrastructure for deploying machine learning models into production.

📋 What You'll Likely Do

• 30%: Develop and maintain CI/CD pipelines for ML workflows.

• 30%: Manage model packaging, versioning, testing, and deployment in production environments.

• 20%: Monitor model performance and data drift to ensure reliability.

• 20%: Collaborate with AI Developers and contribute to the Scrum team.

🧑‍💻 Profiles Doing This Job

• High Priority: 3+ years in Machine Learning, with 1+ year in MLOps.

• High Priority: Experience with MLOps Tools like W&B and ClearML.

• High Priority: Extensive programming skills in Python and Pytorch.

📈 How This Role Will Look on Your CV

• Designed and maintained scalable MLOps infrastructure in a robotics startup.