BMW Group
Senior ML Ops Engineer - Architecture & Strategy(m/w/x)
Full-timeOn-siteSenior
München
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VIVisium SA
Lead MLOps Engineer (GCP)(m/w/x)
München, Zürich
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Designing and maintaining scalable ML production systems and data pipelines on GCP. 6+ years software engineering experience with strong architecture and system design skills required. Yearly education and sport budgets.
Requirements
- 6+ years software engineering experience
- Very strong programming skills
- Proven experience building production systems
- Solid background in software architecture
- Solid background in system design
- Solid background in distributed systems
- Experience applying engineering best practices
- Hands-on experience with cloud platforms
- Deep expertise in Google Cloud Platform (GCP)
- Experience with CI/CD
- Experience with infrastructure as code
- Experience with production monitoring
- Strong communication skills
- Strong stakeholder management skills
- Ability to work on-site in Winterthur weekly
- Availability to travel if based outside of CH
Tasks
- Design, develop, and maintain scalable software systems for ML
- Own production ML services end-to-end
- Apply software engineering best practices
- Build and maintain APIs and services for ML systems
- Build and maintain data pipelines for ML systems
- Implement MLOps workflows with an engineering mindset
- Design and operate cloud-native systems on GCP
- Collaborate with ML engineers and data scientists
- Integrate models into production systems
- Communicate clearly with stakeholders
- Contribute to technical decision-making
Work Experience
- 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Google Cloud Platform (GCP)
- CI/CD
- infrastructure as code
- production monitoring
Benefits
Additional Allowances
- Yearly education budget
Healthcare & Fitness
- Yearly sport budget
Informal Culture
- Flexible working culture
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Visium SA and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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VIVisium SA
Lead MLOps Engineer (GCP)(m/w/x)
München, Zürich
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Designing and maintaining scalable ML production systems and data pipelines on GCP. 6+ years software engineering experience with strong architecture and system design skills required. Yearly education and sport budgets.
Requirements
- 6+ years software engineering experience
- Very strong programming skills
- Proven experience building production systems
- Solid background in software architecture
- Solid background in system design
- Solid background in distributed systems
- Experience applying engineering best practices
- Hands-on experience with cloud platforms
- Deep expertise in Google Cloud Platform (GCP)
- Experience with CI/CD
- Experience with infrastructure as code
- Experience with production monitoring
- Strong communication skills
- Strong stakeholder management skills
- Ability to work on-site in Winterthur weekly
- Availability to travel if based outside of CH
Tasks
- Design, develop, and maintain scalable software systems for ML
- Own production ML services end-to-end
- Apply software engineering best practices
- Build and maintain APIs and services for ML systems
- Build and maintain data pipelines for ML systems
- Implement MLOps workflows with an engineering mindset
- Design and operate cloud-native systems on GCP
- Collaborate with ML engineers and data scientists
- Integrate models into production systems
- Communicate clearly with stakeholders
- Contribute to technical decision-making
Work Experience
- 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Google Cloud Platform (GCP)
- CI/CD
- infrastructure as code
- production monitoring
Benefits
Additional Allowances
- Yearly education budget
Healthcare & Fitness
- Yearly sport budget
Informal Culture
- Flexible working culture
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Visium SA and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Visium SA
Industry
Consulting
Description
Visium enables enterprise executives in defining AI & Data strategy, executing large scale transformations and implementing AI across operations to become future-proof.
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