cuju is looking for a Senior DevOps AWS/MLOps Engineer to play a crucial role in operationalizing and scaling our AI and machine learning models. You will build, deploy, and maintain robust ML systems to ensure seamless integration and reliable performance at scale, helping us digitally empower athletes and sports organizations with data-driven insights.
What You'll Do
- Develop, deploy, and manage production-grade AI and machine learning pipelines, focusing particularly on Computer Vision models.
- Build and maintain scalable, automated infrastructure and CI/CD pipelines to streamline model development, testing, deployment, and monitoring.
- Implement and enhance monitoring tools to track model performance, detect drift, and optimize system efficiency and reliability.
- Work closely with AI engineers, data scientists, and software engineers to ensure effective integration and deployment of machine learning solutions.
- Establish and enforce best practices in ML Ops, including version control, reproducibility, security, and performance optimization.
What We're Looking For
- 5+ years of experience in ML Ops/DevOps, or similar roles, specifically supporting AI/ML initiatives.
- Strong experience with machine learning frameworks such as PyTorch or TensorFlow.
- Expertise in containerization technologies (Docker, Kubernetes) and AWS cloud infrastructure.
- Proven track record deploying and scaling ML models into production environments.
- Proficiency in automation tools and CI/CD pipelines (e.g., GitLab CI, Bitbucket, GitHub Actions).
- Experience with monitoring tools and logging frameworks for ML systems (e.g., Prometheus, Grafana, ELK stack).
- Excellent communication skills in English and the ability to collaborate effectively within international, cross-functional teams.
- Passion for technology, sports analytics, and creating impactful solutions in the sports-tech domain.
Technical Stack
- ML Frameworks: PyTorch, TensorFlow
- Infrastructure & Orchestration: Docker, Kubernetes, AWS
- CI/CD & Automation: GitLab CI, Bitbucket, GitHub Actions
- Monitoring: Prometheus, Grafana, ELK stack
Team & Environment
You will collaborate closely with AI and Data Science teams, including AI engineers, data scientists, and software engineers, within an international and cross-functional setting.
Benefits & Compensation
- Competitive compensation package
- Remote working flexibility
- Vibrant, international team culture
- 30-day vacation
Work Mode
This is a hybrid role, with locations in Munich and Remote (Germany-based).
cuju is an equal opportunity employer committed to democratizing access to knowledge, development, and career opportunities independent of gender, ethnicity, or origin.
