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

Qualifications :

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.

Additional Information :

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 dont just happen. They are made...

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

Remote Work :

No

Employment Type :

Full-time