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Senior Applied AI / ML Data Engineer(m/w/x)
Designing data pipelines for GenAI edge models and optimizing small LLM datasets for intelligent mobility products. 5+ years machine learning engineering experience and practical evaluation at scale needed. 6 weeks annual leave.
Requirements
- University degree (Computer Science, Engineering, or related)
- 5+ years machine learning engineering experience
- Strong software fundamentals (testing, profiling, CI/CD)
- Practical knowledge of evaluation at scale
- Experience with A/B experimentation
- Basics of causal inference
- Privacy-preserving learning patterns
- Motivation to embrace customer problems
- Ability to find innovative solutions
- Enjoyment of working on complex problems
- Enjoyment of working in international team
- Professional English proficiency
- German language skills (plus)
- Proactive action with hands-on mentality
- Strong problem-solving skills
- Excellent cross-functional communication
Tasks
- Design data pipelines for ingestion, curation, pseudonymization, and versioning.
- Implement reproducible training and finetuning for GenAI edge models.
- Set up experiment tracking and artifact registries for model variants.
- Build evaluation suites covering KPIs like latency, memory, hallucination, safety, and harms.
- Optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.
- Build and operate data pipelines.
- Provide self-serve tools for the team.
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- PyTorch
- CI/CD
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Learning & Development
- Personal and professional development opportunities
Job Security
- Job security
Corporate Discounts
- Discounted BMW & MINI conditions
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Senior Applied AI / ML Data Engineer(m/w/x)
Designing data pipelines for GenAI edge models and optimizing small LLM datasets for intelligent mobility products. 5+ years machine learning engineering experience and practical evaluation at scale needed. 6 weeks annual leave.
Requirements
- University degree (Computer Science, Engineering, or related)
- 5+ years machine learning engineering experience
- Strong software fundamentals (testing, profiling, CI/CD)
- Practical knowledge of evaluation at scale
- Experience with A/B experimentation
- Basics of causal inference
- Privacy-preserving learning patterns
- Motivation to embrace customer problems
- Ability to find innovative solutions
- Enjoyment of working on complex problems
- Enjoyment of working in international team
- Professional English proficiency
- German language skills (plus)
- Proactive action with hands-on mentality
- Strong problem-solving skills
- Excellent cross-functional communication
Tasks
- Design data pipelines for ingestion, curation, pseudonymization, and versioning.
- Implement reproducible training and finetuning for GenAI edge models.
- Set up experiment tracking and artifact registries for model variants.
- Build evaluation suites covering KPIs like latency, memory, hallucination, safety, and harms.
- Optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.
- Build and operate data pipelines.
- Provide self-serve tools for the team.
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- PyTorch
- CI/CD
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Learning & Development
- Personal and professional development opportunities
Job Security
- Job security
Corporate Discounts
- Discounted BMW & MINI conditions
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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