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Machine Learning Operations Engineer (f/m/div.)

Summary

Build and maintain the MLOps platform for Bosch’s AI products, using Terraform, Kubernetes, and Azure to automate the ML lifecycle from data ingestion to model monitoring.

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!

See also

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