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AI & Data Platform Engineer | Hybrid | Munich
We're hiring for a leading automotive innovator that is driving the data and AI transformation with cutting-edge platforms and state-of-the-art cloud architecture. This employer is committed to creating the technical foundation for scalable, secure, and efficient AI solutions across the entire company.
The Role
• Develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Support the entire AI lifecycle, from data preparation to the productive operation of ML and generative AI solutions.
• Automate infrastructure, deployments, and workflows using modern DevOps and MLOps approaches.
• Collaborate closely with data scientists, software engineers, and architects to design and implement platform functionalities.
• Ensure the quality, stability, and security of the platform through monitoring, observability, and compliance.
• Evaluate new technological trends and contribute expertise to the further development of the AI landscape.
What You'll Need
• University degree in computer science, mathematics, or a comparable qualification with a strong IT focus.
• At least 5 years of experience in software or platform engineering, ideally in a cloud environment (AWS or Azure).
• Solid knowledge of CI/CD, automation, and infrastructure as code (e.g., Terraform, Docker, Kubernetes).
• Experience in building and operating enterprise-wide AI or data platforms with a focus on scalability and performance.
• Practical experience in machine learning or generative AI, along with knowledge of modern programming languages (Python, Java, or Go) and API technologies.
• Deep understanding of IT security, data protection, and compliance requirements.
What's On Offer
• Challenging projects that shape the future of mobility.
• Diverse personal and professional development opportunities.
• Attractive, fair, and performance-based compensation package.
• Flexible working hours and generous annual leave.
Apply via Haystack today!
