Opportunity Description
- Transform proof-of-concept scripts into Pipelines with different processing steps
- Develop and maintain monitoring and alerting systems to ensure the health and performance of deployed models
- Cross-functional collaboration with research teams and development teams
- Maintain scalable, robust, and reliable infrastructure for model training, testing, deployment, and monitoring
- Optimize and enhance model performance, scalability, and reliability in production environments
- Take responsibility for code testing and quality checking
- Stay on top of the latest trends in the field of MLOps and cloud platforms
- Transform proof-of-concept scripts into Pipelines with different processing steps
- Develop and maintain monitoring and alerting systems to ensure the health and performance of deployed models
- Cross-functional collaboration with research teams and development teams
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Submit your application for MLOps Engineer: Scalable ML Pipelines & Production at Materialise
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