Machine Learning Systems Research Intern at Red Hat working on AI inference and model optimization techniques. Collaborating with experts in the field while gaining hands - on experience in applied ML research.
About the role
- Senior AI/ML Ops Engineer designing and implementing AI workflows at R&C Request GmbH. Collaboratively developing machine learning environments and ensuring efficient operations with modern AI systems.
Responsibilities
- Design and implementation of AI agents and AI workflows in a modern environment.
- Development of custom machine learning environments — from prototyping to production-ready solutions.
- Use of modern cloud services for scalable ML systems.
- Implementation of MLOps practices for efficient operation and continuous improvement of ML models in production as part of a team.
Requirements
- Solid IT education (technical college, university or university of applied sciences) or several years of professional experience focused on AI, Data Science, or Machine Learning.
- Experience in software development with Python.
- Good understanding of AI systems and Machine Learning.
- Analytical, process-oriented working style with a strong quality focus.
- Ability to remain calm in stressful situations.
- Commitment to continuous learning.
- Very good German language skills.
Benefits
- Flexible & modern working conditions: flexible hours, up to 2 days of home office per week, a customizable workstation, and good transport links.
- Attractive additional benefits: company mobile phone, discounted offers with partner companies, commuting allowance, and a staff canteen or meal vouchers.
- Employee-focused culture: health promotion, social events, employee referral program, and support for work–life balance.
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