Job Description
ML Developer / MLOps Engineer
About the Role
Location Mexico Queretaro Santiago de Queretaro Remote vs. Office Hybrid (Remote/Office) Company Siemens Energy, S. de de Organization Grid Technologies Business Unit Product Management Full / Part time Full-time Experience Level Mid-level ProfessionalA Snapshot of Your Day
The day of an ML Developer/MLOps Engineer starts the day by reviewing model performance metrics and identifying any drift in production models. A team meeting follows, where updates on model training and evaluation pipelines are shared. The engineer then works on converting Jupyter notebooks into reproducible training pipelines, ensuring proper version control. After lunch, they package and serve a new machine learning model via Azure ML Endpoints, collaborating with data engineers to manage data and feature pipelines. The day concludes with documenting the integration process and planning for improvement...
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