Lead MLOps Engineer (GCP)
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- Zürich
- Unbefristet
- Vollzeit
- Design, develop, and maintain scalable, reliable software systems supporting ML use cases
- Own production services end-to-end (design, implementation, testing, deployment, monitoring)
- Apply and promote software engineering best practices (clean code, architecture patterns, testing, CI/CD)
- Build and maintain APIs, services, and data pipelines used by ML systems
- Implement MLOps workflows with a strong engineering mindset (automation, reproducibility, monitoring)
- Design and operate cloud-native systems on Google Cloud Platform
- Collaborate closely with ML engineers and data scientists to integrate models into production systems
- Communicate clearly with stakeholders and contribute to technical decision-making
- 6+ years of experience in software engineering
- Very strong programming skills and proven experience building production systems
- Solid background in software architecture, system design, and distributed systems
- Experience applying engineering best practices in real-world environments
- Hands-on experience with cloud platforms, with deep expertise in Google Cloud Platform (GCP)
- Experience with CI/CD, infrastructure as code, and production monitoring
- Strong communication and stakeholder management skills
- Ability to work on-site in Winterthur once per week or if based outside of CH, availability to travel.
- A competitive compensation package
- A yearly education budget to steep your learning curve
- A yearly sport budget because a fit body leads to a fit mind
- A flexible working culture because your work-life balance matters to us
- A position that enables you to have an impact on 1’000s of people, and the whole company's growth.
- An international, knowledgeable, and passionate team with a strong collaborative mindset