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As a Platform Engineer – Data Science, you help shape and scale our infrastructure to support cutting-edge AI and ML applications. You ensure that our platforms are robust, scalable, and automated, and enjoy collaborating across teams to drive innovation.
- Maintain and enhance data science infrastructure for scalability and performance
- Manage deployments in Kubernetes with ArgoCD, focusing on automation and reliability
- Automate ML workflows using tools like Argo Workflows
- Deploy and optimize large-scale ML models (e.g., LLMs) with Ray, vLLM, or Triton
- Design and implement monitoring solutions with Grafana and Prometheus
- Collaborate with Data Scientists and ML Engineers to improve MLOps workflows
- Continuously explore new technologies and contribute to team knowledge
- Degree in Computer Science, Artificial Intelligence/Machine Learning, or a related technical field
- 3+ years of experience in MLOps, ML engineering, or platform engineering
- Strong skills in Python and proficiency in at least one additional language (Java, Go, or TypeScript)
- Solid understanding of ML architectures (e.g., Transformers, CNNs, RNNs, encoder-decoder models) and frameworks (e.g., PyTorch), including the challenges of deploying them at scale (memory management, inference optimization, batching strategies, GPU utilization)
- Strong experience with Kubernetes and container orchestration
- Hands-on experience with ArgoCD for GitOps and CI/CD
- Experience with cloud environments, preferably Azure
- Familiarity with workflow orchestration (Argo Workflows) and distributed computing (Ray)
- Understanding of ML model deployment and monitoring (Prometheus, Grafana)
- Experience working with AI coding assistants (Claude Code, GitHub Copilot, or similar tools)
- Strong communication skills, proactive mindset, and eagerness to learn
- Very good English skills (written and spoken)
- Cooperative, appreciative and respectful culture
- International context with global players
- Professional onboarding: Personal training plan and mentoring
- Individual development and career opportunities (MIC Academy)
- Employee bonus and varios benefits
We are legally obliged to mention the compensation for this position. We offer a minimum salary of € 60.000,- gross/ year (fulltime employment). We offer a higher salary in line with your qualifications and experience.
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