Job
- Level
- Experienced
- Job Field
- Games
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Leipzig
- Working Model
- Hybrid, Onsite
Job Technologies
Your role in the team
- Manage and automate the entire ML lifecycle, from data handling to model deployment This includes: Develop and maintain CI/CD pipelines tailored for ML workflows
- Use Kubernetes, Docker, or similar for ML container orchestration and deployment
- Continuously monitor and ensure system, model and data health and align ML hardware according to computational needs
- Design robust backup and disaster recovery plans for ML models and datasets, Explore and integrate new MLOps tools and methodologies to advance our ML capabilities, upholding security and team collaboration
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Our expectations of you
Education
- Master's degree in Computer Science, Data Science, Engineering or a related technical field
Qualifications
- Proficient in Python
- Strong background in Linux server management and automation with automation tools such as Ansible for configuration management
- Knowledge of log management and visualization tools such as Grafana & Prometheus, Kibana, Elasticsearch
- Familiarity with monitoring and visualization tools for ML applications like Airflow, Argo, Apache Superset or similar
- Exceptional problem-solving and analytical abilities with strong communication and documentation skills
- Team player with the ability to work collaboratively in a cross-functional team environment
Experience
- Experience in developing and maintaining CI/CD pipelines with GitLab Runners
- Hands-on experience with containerization and orchestration technologies such as Docker, Kubernetes, S3 Storage and RDBMS
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Benefits
Work-Life-Integration
More net
Job Locations
Location Leipzig
Sachsen
Germany
This is your employer
ROHDE & SCHWARZ GmbH & Co. KG
Rohde & Schwarz entwickelt, produziert und vermarktet innovative Produkte der Messtechnik, Broadcast- und Medientechnik, Cybersicherheit, Sichere Kommunikation sowie Monitoring und Network Testing. Vor 85 Jahren gegründet, unterhält das Unternehmen ein Vertriebs- und Servicenetz in mehr als 70 Ländern.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.2
Workingconditions
3.8Culture
3.5Engineering
2.6Career Growth
3.2
Machine Learning Operations Engineer
- Location
- Leipzig
- Working Model
- Hybrid, Onsite
