Function Description / Professional Tasks
As a Machine Learning Engineer, you will focus on the technical implementation of the AI platform. Together with other ML-engineers, architects, and data scientists, you will build and maintain our on-premises, open-source-based delivery platform and expand it with us onto the AWS Cloud.
What You Can Do:
− You will take a central role in the development of the machine-learning platform, supporting the data science team by maintaining software and infrastructure components, building new functionality, and ensuring compliance with all IT and regulatory requirements.
− Together with the Architecture Owner, AI Architect, and other ML-Engineers, you will design and realize a roadmap for the continuous evolution of the ML-platform, incorporating relevant cutting-edge tools and technologies
− You will establish clear, reusable, well-documented base patterns and templates and assist data scientists with implementing them into their cases, performing code reviews and coaching team members in technical best practices.
What You Can Do:
− You will take a central role in the development of the machine-learning platform, supporting the data science team by maintaining software and infrastructure components, building new functionality, and ensuring compliance with all IT and regulatory requirements.
− Together with the Architecture Owner, AI Architect, and other ML-Engineers, you will design and realize a roadmap for the continuous evolution of the ML-platform, incorporating relevant cutting-edge tools and technologies
− You will establish clear, reusable, well-documented base patterns and templates and assist data scientists with implementing them into their cases, performing code reviews and coaching team members in technical best practices.