Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable AI platforms in cloud environments, support the entire AI lifecycle, and automate processes using modern DevOps and MLOps approaches.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- University degree in (business) computer science, mathematics, or a comparable qualification with a strong IT focus.
Qualifications
- 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.
Experience
- 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.
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What we offer
- 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
BMW AG
Our world-leading premium automotive brands BMW, MINI, Rolls-Royce and our motorcycles, along with our comprehensive range of high-quality financial and mobility services make us a unique provider.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.1
Career Growth
3.1Engineering
2.3Culture
3.1Workingconditions
4.1
Senior AI & Data Platform Engineer
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
