Responsibilities
- Build and operate AI platforms for data pipelines, training, deployment and inference.
- Optimize for best-in-class AI models, employing suitable ML and LLM approaches.
- Technicial Leadership & Ownership from architecture ownership across teams, mentoring engineers to operational excellence of AI-based systems.
- Analyze stakeholder requirements and translate them into scalable AI platform features that enable hundreds of teams.
- Ensure reliability, performance, and cost-efficient operation of AI-based systems.
- Develop solutions for efficient interoperability and load-distribution between in-vehicle and cloud platforms.
- Develop data and context management solutions to power personalized, customer-centric AI experiences.
Requirements
- University degree in Computer Science, Data Science, or a comparable qualification.
- At least five years of professional experience in (AI) platform engineering, AI training & inference or AI tooling.
- Track record of successfully leading and implementing large and complex technical AI solutions in cloud or edge devices.
- Experience with AI solutions on the edge or being excited to transfer your knowledge to the in-vehicle domain.
- Hands-on experience in machine learning or generative AI and proficiency in modern programming languages such as Python, Node.js/Nest.js, Java/Kotlin, or Go, as well as API technologies.
- Deep understanding of cloud architectures (mainly AWS), container orchestration (Docker, Kubernetes) and (ML)Ops of scalable cloud services.
Nice to Have
- Knowledge of German, both written and spoken, is an advantage.
Benefits
- 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.
- Many other benefits at bmw.jobs/benefits
Additional Information
- Very good written and spoken English skills.
- Start date: from now on
- Type of employment: unlimited
- Working hours: full-time
- If you apply, the next stages of the recruiting process include online testing, a pre-recorded video interview and then an interview with the hiring manager (either virtual or in person).
- Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e-mail.
- At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.
