MLOps Intern
Location: Budapest, hu
Company Description
Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide.
Job Description
Your future team
As an MLOps team we are acting as the bridge between the DevOps / Infrastructure, DataOps and AI developer teams. This means our tasks are very diverse from debugging AI platform issues, profiling and optimizing GPU workloads to developing and introducing new features to our AI platform.
About the Role
As an MLOps Intern, you will work closely with our MLOps engineers to develop more automated and efficient workflows. You will join our efforts to improve and optimize our platform and AI development practices in different AI developer teams.
Your responsibilities will include:
- Developing CI/CT workflows
- Supporting projects in debugging and profiling performance issues
- Contributing to the containerization of AI trainings
- Developing features for our in-house GPU cluster
- Supporting the capacity forecast and capacity management of our cluster
- Helping to define best practices for AI development
Qualifications
We’re looking for someone who:
- Has ongoing studies at a Hungarian university for at least further 12 months in one of the areas: Computer Science, Electronics, Electrical Engineering
- Has at least B2-level proficiency in English
- Is collaborative, open-minded, and enjoys working in a team
- Is curious about cutting-edge technologies and industry best practices
- Is enthusiastic about debugging complex issues
- Learns quickly and can manage tasks independently
These skills will help you stand out:
- Practical experience with machine learning
- Deep understanding of the machine learning development lifecycle, including data preparation and model training
- Strong Python development skills and familiarity with frameworks such as PyTorch
- Understanding of CI/CD concepts and common automation tools
- Understanding of software architecture principles and industry best practices for modern software development
- Experience with Linux environments
- Experience with virtualization and containerization technologies (e.g., Docker)
Additional Information
What we offer:
- Hands‑on experience with real-world AI workloads at scale
- Practical experience with GPUs, distributed systems, and performance optimization
- Deep understanding of MLOps workflows and modern ML infrastructure
- Opportunity to learn from senior engineers in AI and infrastructure
- A new and modern office in the heart of Budapest (near Kálvin square)
Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next.
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