BMW Group
Senior Applied AI / ML Application Engineer(m/w/x)
Full-timeOn-siteSenior
München
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BMBMW Group
Senior Applied AI / ML Data Engineer(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BMBMW Group
Senior Applied AI / ML Data Engineer(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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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