The roleYou 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 doDesign, build, and deploy production-grade AI-powered applications end-to-endDevelop APIs and integrate ML models and data pipelines into user-facing productsCollaborate with ML, data, and engineering teams to ship reliable systemsContribute to architectural decisions, tooling, and engineering best practicesDocument systems and share knowledge to support long-term scalabilityWhat you bringBSc or higher in Computer Science, Machine Learning, Mathematics, or related fieldStrong Python skills; familiarity with CUDA or C++ is a plusExperience with ML frameworks (PyTorch, TensorFlow, or JAX)Solid software engineering habits: testing, code reviews, CI/CDPragmatic, results-oriented, and comfortable owning work end-to-endFluent English (German is a plus)Nice to haveExperience with real-time, low-latency ML pipelinesHands-on experience with transformer architectures, agentic systems, and deep learningCloud or on-premise deployment experience (AWS, Azure)What we offerRemote-first with full flexibility (CET ±2–3h)Mentorship directly with C-level leadersInvestment in your personal development and certificationsRegular team offsites and retreatsReal ownership on cutting-edge AI projects from day one

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Machine Learning Engineer