Paynhire

MLOps Engineer

Updated: May 10, 2024 05:35 AM GMT


Artificialy

Artificialy

Lugano

Job description

We are looking for a new team member to join our office in Lugano (CH)! If you can reach our office location, are an EU/CH citizen or have a "C" work permit, and believe you are the right candidate for the role described below, please send us your resumé, cover letter and University transcripts (full list of courses and grades, from your Bachelor and Master's degrees) at info@artificialy.com.

Role:
• Develop and maintain scalable and efficient machine learning operations (MLOps) pipelines for deploying, monitoring, and managing deep learning models.
• Develop and maintain data pipeline and synthetic data generation tools.
• Create inference tools for running the model into production.
• Collaborate with data scientists and machine learning engineers to integrate models into production environments.
• Monitor model performance and implement strategies for continuous improvement.
• Contribute to the development of best practices and standards for MLOps within the... More Detail


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