Machine Learning Engineer

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 a 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

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