MLOps Engineer (f/m/div.)
The engineer will shape Bosch's MLOps strategy and design a self‑service platform covering the full ML lifecycle in a cloud environment. They will also build IaC pipelines with Terraform, enforce security, and ensure reproducibility and monitoring of deployed models.
Skills required
About this role
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 don´t just happen. They are made...
Make it happen! We are looking forward to your application!
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