Carl Zeiss AG
Lead DevOps Engineer(m/w/x)
Full-timeOn-siteSenior
Oberkochen
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CACarl Zeiss AG
Machine Learning Engineer(m/w/x)
Oberkochen
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Transforming experimental research code into high-performance production software, building automated deployment pipelines for a global technology group. Professional experience building production-grade software systems required. Influence on engineering standards for version control and containerization.
Requirements
- University degree in Computer Science, Software Engineering, or related field
- Professional experience in building production-grade software systems
- Deep proficiency in Python
- Advocacy for clean code, design patterns, and modular architecture
- Experience with C++ or C# (Advantageous)
- DevOps mindset and hands-on experience in Docker and Kubernetes
- Ability to manage containerized workloads and scale services
- Skill in automating infrastructure using Terraform, Ansible, or Bicep
- Track record of designing and maintaining CI/CD pipelines
- Familiarity with MLflow, Kubeflow, or DVC
- Enjoyment of translating research code into stable products
- Strong communication and mentoring skills
- Structured approach to work and project leadership experience
Tasks
- Design and maintain robust MLOps infrastructure
- Transform experimental research code into high-performance software
- Build automated pipelines for model deployment
- Manage computing environments using Terraform and Ansible
- Define engineering standards for version control and containerization
- Implement monitoring solutions for model performance and health
- Consult with scientists to optimize research workflows
- Deploy ML models across cloud, edge, and on-premise environments
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- C#
- Docker
- Kubernetes
- Terraform
- Ansible
- Bicep
- Azure
- Azure DevOps
- GitHub Actions
- MLflow
- Kubeflow
- DVC
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Carl Zeiss AG 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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CACarl Zeiss AG
Machine Learning Engineer(m/w/x)
Oberkochen
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Transforming experimental research code into high-performance production software, building automated deployment pipelines for a global technology group. Professional experience building production-grade software systems required. Influence on engineering standards for version control and containerization.
Requirements
- University degree in Computer Science, Software Engineering, or related field
- Professional experience in building production-grade software systems
- Deep proficiency in Python
- Advocacy for clean code, design patterns, and modular architecture
- Experience with C++ or C# (Advantageous)
- DevOps mindset and hands-on experience in Docker and Kubernetes
- Ability to manage containerized workloads and scale services
- Skill in automating infrastructure using Terraform, Ansible, or Bicep
- Track record of designing and maintaining CI/CD pipelines
- Familiarity with MLflow, Kubeflow, or DVC
- Enjoyment of translating research code into stable products
- Strong communication and mentoring skills
- Structured approach to work and project leadership experience
Tasks
- Design and maintain robust MLOps infrastructure
- Transform experimental research code into high-performance software
- Build automated pipelines for model deployment
- Manage computing environments using Terraform and Ansible
- Define engineering standards for version control and containerization
- Implement monitoring solutions for model performance and health
- Consult with scientists to optimize research workflows
- Deploy ML models across cloud, edge, and on-premise environments
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- C#
- Docker
- Kubernetes
- Terraform
- Ansible
- Bicep
- Azure
- Azure DevOps
- GitHub Actions
- MLflow
- Kubeflow
- DVC
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Carl Zeiss AG 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
Carl Zeiss AG
Industry
Research
Description
Das Unternehmen vereint Innovation und Verantwortung und trägt entscheidend zur strategischen Ausrichtung und zum nachhaltigen Erfolg der ZEISS Gruppe bei.
Not a perfect match?
- Carl Zeiss AG
Lead DevOps Engineer(m/w/x)
Full-timeOn-siteSeniorOberkochen - Carl Zeiss AG
Internship in Machine Learning Research(m/w/x)
Full-timeInternshipOn-siteOberkochen - Carl Zeiss SMT GmbH
Lead AI Engineer(m/w/x)
Full-timeOn-siteSeniorOberkochen - Carl Zeiss AG
Cloud DevOps Engineer Digital Integration Platform(m/w/x)
Full-timeOn-siteSeniorOberkochen - Carl Zeiss SMT GmbH
Softwareentwickler für Produktansteuerungen(m/w/x)
Full-time/Part-timeOn-siteNot specifiedOberkochen