Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du skalierbare AI-Plattformen in Cloud-Umgebungen, unterstützt den gesamten AI-Lifecycle und automatisierst Prozesse mithilfe moderner DevOps- und MLOps-Methoden.
Job Technologien
Deine Rolle im Team
- You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
- Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.
- You automate infrastructure, deployments, and workflows using modern DevOps and MLOps approaches (e.g., Terraform, GitHub Actions, SonarQube).
- Furthermore, you work closely with data scientists, software engineers, and architects to design and implement APIs, services, and platform functionalities.
- You also ensure the quality, stability, and security of the platform - including monitoring, observability, logging, compliance, and documentation.
- Moreover, you engage in the BMW AI Community, share best practices, and promote a positive developer experience.
- Last but not least, you evaluate new technological trends (e.g., Generative AI, LLMs, RAG, LangChain) and actively contribute your expertise to the further development of our AI landscape.
Unsere Erwartungen an dich
Ausbildung
- University degree in (business) computer science, mathematics, or a comparable qualification with a strong IT focus.
Qualifikationen
- Solid knowledge of CI/CD, automation, and infrastructure as code, ideally with Terraform, Docker, Kubernetes, or similar tools.
- Deep understanding of IT security, data protection, and compliance requirements.
- Very good English skills; German skills are an advantage.
Erfahrung
- At least 5 years of experience in software or platform engineering, ideally in a cloud environment (AWS or Azure).
- Experience in building and operating enterprise-wide AI or data platforms with a focus on scalability, performance, and user experience.
- Practical experience in machine learning or generative AI (e.g., Jupyter, PyTorch, TensorFlow, SageMaker, LangChain, Haystack) together with knowledge in modern programming languages (Python, Java, or Go) and API technologies.
Unser Angebot
- Challenging projects with which we jointly shape the mobility of tomorrow.
- Diverse personal and professional development opportunities.
- Attractive, fair, and performance-based compensation.
- High job security.
- Annual special payments such as holiday pay, Christmas bonus, and profit sharing.
- Flexible working hours including six weeks of 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
Dev Reviews
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4.1
Senior AI & Data Platform Engineer
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
