Machine Learning Engineering Manager (m/f/d)
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Die Stelle
You will lead and scale a Machine Learning Engineering team that partners with data scientists to transform models into production-grade ML applications on a central MLOps platform.
You will shape ML Engineering standards by establishing best practices, design patterns, and quality benchmarks enabling scalable, maintainable ML solutions.
You will drive technical strategy and architecture across data science, MLOps, and engineering, ensuring alignment with business objectives and communicating designs to tech leadership.
You will bridge platform and practice by translating MLOps capabilities into practical guidance for data science teams while channeling ML engineering requirements back to the MLOps platform team.
You will foster collaboration and excellence by building strong cross-functional relationships, mentoring engineers, and cultivating a culture of innovation and continuous improvement.
Required: proven leadership (3+ years), hands-on credibility, and a strategic vision for deploying large-scale ML systems in production on AWS.
You will shape ML Engineering standards by establishing best practices, design patterns, and quality benchmarks enabling scalable, maintainable ML solutions.
You will drive technical strategy and architecture across data science, MLOps, and engineering, ensuring alignment with business objectives and communicating designs to tech leadership.
You will bridge platform and practice by translating MLOps capabilities into practical guidance for data science teams while channeling ML engineering requirements back to the MLOps platform team.
You will foster collaboration and excellence by building strong cross-functional relationships, mentoring engineers, and cultivating a culture of innovation and continuous improvement.
Required: proven leadership (3+ years), hands-on credibility, and a strategic vision for deploying large-scale ML systems in production on AWS.
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