BMW Group
Senior Applied AI / ML Data Engineer(m/w/x)
Full-timeOn-siteSenior
München
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BMBMW Group
Senior Applied AI / ML Engineer(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Adapting base models for voice and intelligence tasks, building clean, reproducible training and finetuning pipelines. Expertise in GenAI model compression and alignment required. 6 weeks annual leave, overtime compensation.
Requirements
- University degree in Computer Science, Engineering, or related field
- Several years of applied ML and model engineering experience
- Proficiency in PyTorch and Transformers frameworks
- Expertise in model compression, alignment, and fine-tuning of small GenAI and ML models
- Skilled in building evaluation suites and statistical analysis of model behaviour
- Practical knowledge of edge device constraints (RAM, bandwidth, cache, cold start)
- Professional English proficiency
- Proactive action with hands-on mentality
- Strong problem-solving skills
- Excellent cross-functional communication skills
Tasks
- Select and adapt base models for voice assistant tasks
- Select and adapt base models for intelligence tasks
- Produce clean training pipelines
- Produce reproducible training pipelines
- Produce clean finetuning pipelines
- Produce reproducible finetuning pipelines
- Produce clean evaluation pipelines
- Produce reproducible evaluation pipelines
- Refine models for the problem at hand
- Implement quantization strategies
- Implement pruning strategies
- Implement distillation strategies
- Enable cost-efficient inference
- Collaborate with performance engineers on hardware-aware model variants
- Collaborate with performance engineers on hardware-aware performance
- Co-own latency KPIs
- Co-own memory KPIs
- Provide models that meet budget requirements on target hardware
- Document design choices
- Document trade-offs
- Document model cards for audits
- Document model cards for compliance
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Advanced
- German – is a plus
Tools & Technologies
- PyTorch
- Transformers
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
- High 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 Engineer(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Adapting base models for voice and intelligence tasks, building clean, reproducible training and finetuning pipelines. Expertise in GenAI model compression and alignment required. 6 weeks annual leave, overtime compensation.
Requirements
- University degree in Computer Science, Engineering, or related field
- Several years of applied ML and model engineering experience
- Proficiency in PyTorch and Transformers frameworks
- Expertise in model compression, alignment, and fine-tuning of small GenAI and ML models
- Skilled in building evaluation suites and statistical analysis of model behaviour
- Practical knowledge of edge device constraints (RAM, bandwidth, cache, cold start)
- Professional English proficiency
- Proactive action with hands-on mentality
- Strong problem-solving skills
- Excellent cross-functional communication skills
Tasks
- Select and adapt base models for voice assistant tasks
- Select and adapt base models for intelligence tasks
- Produce clean training pipelines
- Produce reproducible training pipelines
- Produce clean finetuning pipelines
- Produce reproducible finetuning pipelines
- Produce clean evaluation pipelines
- Produce reproducible evaluation pipelines
- Refine models for the problem at hand
- Implement quantization strategies
- Implement pruning strategies
- Implement distillation strategies
- Enable cost-efficient inference
- Collaborate with performance engineers on hardware-aware model variants
- Collaborate with performance engineers on hardware-aware performance
- Co-own latency KPIs
- Co-own memory KPIs
- Provide models that meet budget requirements on target hardware
- Document design choices
- Document trade-offs
- Document model cards for audits
- Document model cards for compliance
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Advanced
- German – is a plus
Tools & Technologies
- PyTorch
- Transformers
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
- High 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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