Machine Learning Engineer

Deine Rolle im Team

Unsere Erwartungen an dich

Ausbildung

• Engineering Foundation: You hold an excellent university degree in Computer Science, Software Engineering, or a related technical field. While we value advanced degrees, we prioritize professional experience in building production-grade software systems.

Qualifikationen

• Python Expert: You have deep proficiency in Python and are an advocate for clean code, design patterns, and modular architecture.
• You are comfortable managing containerized workloads and understand the nuances of scaling services in a corporate environment.
• Infrastructure as Code (IaC): You are skilled in automating infrastructure using tools like Terraform, Ansible, or Bicep, specifically within the Azure ecosystem.
• Automation Specialist: You have a proven track record of designing and maintaining CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) that go beyond simple builds to include automated testing and deployment.
• MLOps Tooling: You are familiar with (or eager to master) the ML lifecycle stack, such as MLflow, Kubeflow, or DVC, and you understand how to apply standard DevOps principles to the unique challenges of machine learning.
• The 'Bridge' Mindset: You enjoy the challenge of translating 'research-grade' code into stable, scalable products.
• You are a strong communicator who can mentor researchers on engineering best practices without stifling their creativity.

Erfahrung

• Experience with C++ or C# is a significant advantage for integrating ML into our high-performance hardware systems.
• DevOps & Orchestration: You have a 'DevOps mindset' with hands-on experience in Docker and Kubernetes.
• Project Leadership: You have a structured approach to work, with experience in technical scope definition, backlog management, and coordinating with cross-functional teams.

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