Machine Learning Operations Engineer

MLOps Strategy & Architecture:

• Collaborate on the MLOps strategy for our cloud environment, ensuring alignment with business objectives, security requirements, and best practices.
• Collaborate on the technical design of a MLOps platform that provides a self-service approach to the MLOps loop problems, such as data ingestion, feature engineering, model training, model validation, model deployment, model monitoring.
• Develop and maintain comprehensive documentation for MLOps processes and infrastructure.

Hybrid ML-loop Implementation:

• Design and implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud resources using Terraform.
• Implement robust security measures to protect sensitive data, ML models, and other artefacts.
• Implement new functionalities while ensuring key non-functional properties of the model development toolchain, particularly reproducibility.
• Implement monitoring dashboards and alerts to proactively identify and resolve MLOps platform issues.

• Collaboration & Leadership:

• Work closely with ML engineers, data scientists, software engineers, and infrastructure teams to deliver a high-quality MLOps solution.
• Communicate effectively with stakeholders at all levels, including technical and non-technical audiences.
• Stay up to date with the latest MLOps trends and technologies and adopt new approaches.
• Participate in code reviews and contribute to the development of best practices

Education:
• MSc or Ph.D. in Software Engineering, Computer Science, Data Science, Machine Learning, or a related field.

Experience:

• 3+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.

Technical Skills:

• Good understanding of the ML development process and model life cycle.
• Good understanding of DevOps principles and practices.
• Experience designing, implementing, integrating, and maintaining MLOps solutions or CI/CD pipelines.
• Good scripting and automation skills with Python and Bash.
• Experience with Azure services, and Microsoft Entra ID.
• Good understanding of Terraform, GitHub Actions, and Kubernetes.
• Basic understanding of Ansible.
• Experience with GNU/Linux systems as key development environment.

 Soft Skills:

• Excellent problem-solving skills.
• Effective communication skills, team player, and capable of collaborating across functional areas.
• Proactive, customer and result-oriented personality.
• Experience working in Agile/SAFe environments.
• Fluent in English, written and spoken.

What we offer you:

Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.

Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!