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