Role overview
Location: Hybrid/ Remote (Germany-based)
Start: ASAP | Languages: Fluent English
What we're looking for
What You Bring:
We’re looking for engineers with 4+ years of experience in software engineering, including hands-on experience building, deploying, and operating ML systems in production. Experience limited to research or notebook-based work is unfortunately not sufficient for this role.
- Strong programming skills in Python (clean architecture, testing, modular design not just scripts).
- Proven experience building and operating systems on AWS (preferred) or strong experience with a comparable cloud platform
- Experience with Ray (or similar distributed compute frameworks) is a strong plus. We actively use Ray in production for distributed workloads and model serving.
- Experience with:
- Git (collaborative workflows, code reviews)
- CI/CD pipelines (GitHub Actions, GitLab CI, etc.)
- Testing (unit + integration — not optional)
- Experience with Docker (Kubernetes or similar is a strong plus)
- Hands-on experience with production infrastructure (CI/CD, monitoring, logging, deployments)
- Experience with computer vision
- Experience training and evaluating ML models
- Familiarity with MLOps tooling
- Experience optimizing models for latency, scale, and cost
- Work on a live product with real-world impact
- Build end-to-end ML systems, not just models
- Operate in an environment that values engineering excellence
- Have real ownership over systems in production
- Significant influence on CUJU’s growth, product strategy, and industry-leading innovation.
- Competitive compensation, remote flexibility, and a vibrant, international working environment.
- Direct collaboration with top-tier football clubs, industry experts, and an ambitious cross-functional team.
- Significant influence on CUJU’s growth, product strategy, and industry-leading innovation
- Short decision-making paths – direct communication, quick decisions, and close collaboration with management
- Personal development – individual learning opportunities and room to grow beyond yourself
- Diverse benefits – e.g. 30-day vacation, competitive compensation, corporate benefits, and moree environment,
Your Impact:
- You deliver ML systems that are reliable, scalable, and used in production
- You proactively improve code quality, infrastructure, and system design
- You take full ownership of systems, including failures and fixes
- You bring an engineering-first approach to all ML work
️ Is this your next big play?
Are you passionate about sports, communicative, and eager to actively shape the future of sports? Then we look forward to your application!
Please send us your CV directly via the application link for JOIN.
Please acknowledge that we can only accept applications online through our recruiting software due to GDPR. Thank you!
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