BMW Group
Senior ML Ops Engineer - Architecture & Strategy(m/w/x)
Full-timeOn-siteSenior
München
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BMBMW Group
Big Data Engineer - ML Analytics & Search(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing PB-scale sensor data indexing and search pipelines at an automotive manufacturer. 3-5 years experience with PB-scale query optimization and distributed compute frameworks expected. Six weeks annual leave, Christmas bonus.
Requirements
- University degree in Computer Science, Engineering, or related field
- 3-5 years experience in big data or data engineering with analytics and search focus
- Strong Python and SQL skills
- Experience with distributed compute frameworks
- Experience with columnar/analytical storage and PB-scale query optimisation
- Familiarity with search/indexing technologies (full-text, vector/embedding, metadata catalogues)
- Production experience with Kubernetes and AWS/Azure/Google Cloud
- Hands-on experience with infrastructure-as-code
- Experience with automotive measurement data (MDF4/ASAM MDF or MCAP)
- Experience with embedding-based retrieval, dataset management, stream processing, or graph-based metadata systems
Tasks
- Develop high-performance search pipelines for PB-scale data.
- Develop high-performance query pipelines for PB-scale data.
- Build and operate sensor data indexing systems.
- Build and operate sensor data cataloguing systems.
- Extract metadata from sensor data.
- Implement signal-level indexing.
- Perform scene tagging.
- Develop embedding-based similarity search.
- Implement distributed compute pipelines for data evaluation.
- Perform batch statistics analysis.
- Conduct data distribution analysis.
- Generate annotation coverage reports.
- Perform data quality scoring.
- Build fast analytical queries for interactive exploration.
- Develop dataset assembly pipelines.
- Automate assembly of datasets.
- Version training and evaluation datasets.
- Register training and evaluation datasets.
- Optimize data cost and performance.
- Implement intelligent data partitioning.
- Utilize tiered storage solutions.
- Apply caching strategies.
- Perform query pushdown.
- Operate observability stacks for data pipelines.
- Monitor query latency dashboards.
- Track pipeline health.
- Manage data freshness monitors.
Work Experience
- 3 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Kubernetes
- AWS
- Azure
- Google Cloud
- MDF4
- ASAM MDF
- MCAP
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- Six weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Learning & Development
- 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
Big Data Engineer - ML Analytics & Search(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing PB-scale sensor data indexing and search pipelines at an automotive manufacturer. 3-5 years experience with PB-scale query optimization and distributed compute frameworks expected. Six weeks annual leave, Christmas bonus.
Requirements
- University degree in Computer Science, Engineering, or related field
- 3-5 years experience in big data or data engineering with analytics and search focus
- Strong Python and SQL skills
- Experience with distributed compute frameworks
- Experience with columnar/analytical storage and PB-scale query optimisation
- Familiarity with search/indexing technologies (full-text, vector/embedding, metadata catalogues)
- Production experience with Kubernetes and AWS/Azure/Google Cloud
- Hands-on experience with infrastructure-as-code
- Experience with automotive measurement data (MDF4/ASAM MDF or MCAP)
- Experience with embedding-based retrieval, dataset management, stream processing, or graph-based metadata systems
Tasks
- Develop high-performance search pipelines for PB-scale data.
- Develop high-performance query pipelines for PB-scale data.
- Build and operate sensor data indexing systems.
- Build and operate sensor data cataloguing systems.
- Extract metadata from sensor data.
- Implement signal-level indexing.
- Perform scene tagging.
- Develop embedding-based similarity search.
- Implement distributed compute pipelines for data evaluation.
- Perform batch statistics analysis.
- Conduct data distribution analysis.
- Generate annotation coverage reports.
- Perform data quality scoring.
- Build fast analytical queries for interactive exploration.
- Develop dataset assembly pipelines.
- Automate assembly of datasets.
- Version training and evaluation datasets.
- Register training and evaluation datasets.
- Optimize data cost and performance.
- Implement intelligent data partitioning.
- Utilize tiered storage solutions.
- Apply caching strategies.
- Perform query pushdown.
- Operate observability stacks for data pipelines.
- Monitor query latency dashboards.
- Track pipeline health.
- Manage data freshness monitors.
Work Experience
- 3 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Kubernetes
- AWS
- Azure
- Google Cloud
- MDF4
- ASAM MDF
- MCAP
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- Six weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Learning & Development
- 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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