Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you design data pipelines for ingestion, pseudonymization, and versioning. You implement training for GenAI models and optimize datasets for small LLMs while collaborating with an international team of experts.
Job Technologies
Your role in the team
- You design data pipelines for ingestion, curation, pseudonymization, and versioning.
- Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
- You set up experiment tracking and artifact registries for model variants.
- Additionally, you evaluate suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.
- You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.
- You build and operate the data pipelines and provide self-serve tools for the team.
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Our expectations of you
Education
- University degree in Computer Science, Engineering, or a related field.
Qualifications
- Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.
- Motivation to embrace customer problems and find innovative solutions using available technologies.
- You enjoy working on complex problems in an international in-house team of experts.
- Professional English proficiency; German is a plus.
- Are you ready to take proactive action with a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication?
Experience
- Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.
- Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
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What we offer
- 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.
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Benefits
Work-Life-Integration
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 Applied AI/ML Data Engineer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
