BMW Group
Senior AI & Data Platform Engineer(m/w/x)
Full-timeOn-siteSenior
München
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BMBMW Group
Senior MLOps Engineer - Autonomous Driving Platform(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Building and managing cloud-native platform infrastructure for autonomous driving, orchestrating large-scale GPU clusters on AWS EKS. Five years MLOps/DevOps/Cloud Engineering experience with machine learning platforms and Kubernetes/AWS EKS expertise required. Six weeks annual leave, flexible working hours, overtime compensation.
Requirements
- University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications
- At least five years professional experience in MLOps, DevOps, or Cloud Engineering with machine learning platforms focus
- Proficient expertise in Kubernetes, AWS EKS, and related cloud services
- Comprehensive knowledge of distributed training infrastructure and large-scale GPU cluster orchestration
- Advanced skills in Infrastructure as Code, especially Terraform and Helm
- Strong proficiency in Python development, scripting, automation, CI/CD pipelines, monitoring, and observability tools
- Very good written and spoken English skills
- Advantageous knowledge of German
Tasks
- Design, build, and manage Kubernetes clusters on AWS EKS
- Provision and orchestrate large-scale GPU clusters for AI/ML
- Implement and automate CI/CD pipelines for AI/ML workflows
- Develop and maintain experiment tracking for autonomous driving
- Develop and maintain model registries for autonomous driving
- Develop and maintain artifact storage for autonomous driving
- Monitor and optimize platform reliability
- Monitor and optimize platform performance
- Monitor and optimize platform cost
- Implement resource scheduling in MLOps
- Implement quota management in MLOps
- Implement cost control in MLOps
- Collaborate with data scientists, AI/ML engineers, and cloud architects
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Kubernetes
- AWS EKS
- Terraform
- Helm
- Python
- ArgoCD
- GitHub Actions
- Prometheus
- Grafana
- OpenSearch
- Kibana
- CloudWatch
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Learning & Development
- Personal development opportunities
- Professional development opportunities
Job Security
- Job security
Corporate Discounts
- Discounted BMW & MINI conditions
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group 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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BMBMW Group
Senior MLOps Engineer - Autonomous Driving Platform(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Building and managing cloud-native platform infrastructure for autonomous driving, orchestrating large-scale GPU clusters on AWS EKS. Five years MLOps/DevOps/Cloud Engineering experience with machine learning platforms and Kubernetes/AWS EKS expertise required. Six weeks annual leave, flexible working hours, overtime compensation.
Requirements
- University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications
- At least five years professional experience in MLOps, DevOps, or Cloud Engineering with machine learning platforms focus
- Proficient expertise in Kubernetes, AWS EKS, and related cloud services
- Comprehensive knowledge of distributed training infrastructure and large-scale GPU cluster orchestration
- Advanced skills in Infrastructure as Code, especially Terraform and Helm
- Strong proficiency in Python development, scripting, automation, CI/CD pipelines, monitoring, and observability tools
- Very good written and spoken English skills
- Advantageous knowledge of German
Tasks
- Design, build, and manage Kubernetes clusters on AWS EKS
- Provision and orchestrate large-scale GPU clusters for AI/ML
- Implement and automate CI/CD pipelines for AI/ML workflows
- Develop and maintain experiment tracking for autonomous driving
- Develop and maintain model registries for autonomous driving
- Develop and maintain artifact storage for autonomous driving
- Monitor and optimize platform reliability
- Monitor and optimize platform performance
- Monitor and optimize platform cost
- Implement resource scheduling in MLOps
- Implement quota management in MLOps
- Implement cost control in MLOps
- Collaborate with data scientists, AI/ML engineers, and cloud architects
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Kubernetes
- AWS EKS
- Terraform
- Helm
- Python
- ArgoCD
- GitHub Actions
- Prometheus
- Grafana
- OpenSearch
- Kibana
- CloudWatch
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Learning & Development
- Personal development opportunities
- Professional development opportunities
Job Security
- Job security
Corporate Discounts
- Discounted BMW & MINI conditions
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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