Machine Learning Engineer

The role

You will build and deploy production-grade AI systems for enterprise clients. Your work spans the full lifecycle - from prototyping and model development to API integration and production deployment.

What you'll do

• Design, build, and deploy production-grade AI-powered applications end-to-end
• Develop APIs and integrate ML models and data pipelines into user-facing products
• Collaborate with ML, data, and engineering teams to ship reliable systems
• Contribute to architectural decisions, tooling, and engineering best practices
• Document systems and share knowledge to support long-term scalability

What you bring

• BSc or higher in Computer Science, Machine Learning, Mathematics, or related field
• Strong Python skills; familiarity with CUDA or C++ is a plus
• Experience with ML frameworks (PyTorch, TensorFlow, or JAX)
• Solid software engineering habits: testing, code reviews, CI/CD
• Pragmatic, results-oriented, and comfortable owning work end-to-end
• Fluent English (German is a plus)

Nice to have

• Experience with real-time, low-latency ML pipelines
• Hands-on experience with transformer architectures, agentic systems, and deep learning
• Cloud or on-premise deployment experience (AWS, Azure)

What we offer

• Remote-first with full flexibility (CET ±2–3h)
• Mentorship directly with C-level leaders
• Investment in your personal development and certifications
• Regular team offsites and retreats
• Real ownership on cutting-edge AI projects from day one