Informacje o stanowisku

technologies-expected :

• AWS
• Python
• Bash

• Join us as an MLOps Engineer to enhance Data Science operations and drive automation. Youll implement MLOps tools, improve processes, and provide training to the team.

• Research and integrate MLOps tools and frameworks.
• Improve MLOps maturity across projects.
• Promote agile, automated Data Science practices.
• Conduct internal training on MLOps.

• Experience with Kubernetes, AWS, Kubeflow/SageMaker.
• Proficiency in Python, Bash/Unix.
• Experience in CI/CD pipelines and ML model development.
• Strong troubleshooting and communication skills.
• English (B2+).

• B2B contract, full-time.
• Fully remote, work on your own device.
• Recruitment: 1 interview + technical test.

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