Job
- Level
- Senior
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du eine skalierbare MLOps-Plattform für autonomes Fahren, verwaltest Kubernetes-Cluster auf AWS EKS und implementierst CI/CD-Pipelines für KI-Workflows.
Job Technologien
Deine Rolle im Team
- We are a cross-functional team driving the development and operation of a scalable MLOps platform for autonomous driving.
- Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle.
- You design, build, and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads.
- Furthermore, you provision and orchestrate large-scale GPU clusters for distributed AI/ML training and experimentation.
- Here, you implement and automate CI/CD pipelines for AI/ML workflows optimized for autonomous model lifecycle.
- Additionally, you develop and maintain infrastructure components such as experiment tracking, model registry, and artifact storage tailored to autonomous driving data.
- You monitor and optimize platform reliability, performance, and cost.
- Moreover, you implement resource scheduling, quota management, and cost control strategies within the MLOps environment.
- You collaborate closely with data scientists, AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle.
Unsere Erwartungen an dich
Ausbildung
- University degree in Computer Science, Data Science, AI, Mathematics, Physics or comparable qualifications.
Qualifikationen
- Profound 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.
- Very good written and spoken English skills; knowledge of German is an advantage.
Erfahrung
- At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms.
- Strong proficiency in Python development, scripting and automation, with hands-on experience in CI/CD pipelines as well as monitoring and observability tools (e.g. ArgoCD, GitHub Actions, Prometheus, Grafana, OpenSearch/Kibana, CloudWatch).
Unser Angebot
- Challenging projects with which we are shaping the mobility of tomorrow together.
- Wide range of personal and professional development opportunities.
- Attractive, fair and performance-related remuneration.
- High level of job security.
- Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
- Flexible working hours including 6 weeks annual leave and overtime compensation.
- Discounted BMW & MINI conditions.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
BMW AG
Weltweit führend in der Premium-Klasse: Ob Automobile, Motorräder oder Finanz- und Mobilitätsdienstleistungen - die Marken BMW, MINI, Rolls-Royce und BMW Motorrad stehen für höchste Qualität.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Fahrzeugbau, Zulieferer, Industrie, Produktion
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4.1
Senior MLOps Engineer - Autonomous Driving Platform
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
