AI Engineer | AI Engineer (m/w/d) Modelle für die Produktion, nicht für die Schublade
Expert Select GmbH
Job Summary
This role is designed for a pragmatic AI Engineer who wants to move beyond proof-of-concepts and build production-ready machine learning models that solve real-world operational problems. You will bridge the gap between Data Science and IT infrastructure by designing, training, and deploying scalable models for prediction and classification. Your day-to-day involves building robust data pipelines, managing MLOps workflows using containerization, and monitoring live model performance to prevent drift. The position is ideal for a developer who values clean code and sustainable system architecture. What makes this role unique is the focus on 'production, not the drawer,' offering a modern tech stack and a clear path toward permanent integration within a renowned client's core team. You will work in an environment that prioritizes practical solutions over theoretical complexity, supported by a professional team that values direct communication and continuous technical growth.
Required Skills
Education
University degree in Computer Science, Mathematics, Data Science, or equivalent practical experience in data-driven system development.
Experience
- Professional experience in developing data-driven systems and machine learning models
- Experience in building structured data pipelines for Big Data
- Proven experience with MLOps, including deployment and monitoring of live models
- Experience with version control systems and containerization tools
- Experience in performing code reviews and writing testable code
Languages
Additional
- The role involves potential project-related on-call duties. Applicants can apply without a cover letter using a CV or LinkedIn/GitHub profile.
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