Senior Applied AI / ML Data Engineer

BMW AG
München, Germany
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Experience level
Senior

Job location

München, Germany

Tech stack

Artificial Intelligence
Profiling
Continuous Integration
Python
Machine Learning
Regression Testing
Management of Software Versions
PyTorch
Large Language Models
Information Technology
Data Pipelines

Job description

Als Verstärkung für unser Team suchen wir am Standort München eine/n Senior Applied AI / ML Data Engineer (f/m/x) Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen. ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR! Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good. What awaits you? 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 build evaluation 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. What should you bring along? University degree in Computer Science, Engineering, or a related field. Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD. Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing. Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns. 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? Apply now! Note: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered. What do 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. Many other benefits at bmw.jobs/benefits Start date: from now on Type of employment: unlimited Working hours: [[classificationTime]] If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person). Stellenreferenz: 182180 BMW Group Recruiting München BEWERBEN Auf der Suche nach einer spannenden Herausforderung? Hier gibt es viele weitere Infos über uns: bmwgroup.jobs/karriere Mehr Insights auch auf Instagram und Facebook @bmwgroupcareers

Requirements

evaluation 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. What should you bring along? University degree in Computer Science, Engineering, or a related field. Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD. Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing. Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns. 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? Apply now! Note: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered. What do 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. Many other benefits at bmw.jobs/benefits Start date: from now on Type of employment: unlimited Working hours: [[classificationTime]] If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person). Stellenreferenz: 182180 BMW Group Recruiting München BEWERBEN Auf der Suche nach einer spannenden Herausforderung? Hier gibt es viele weitere Infos über uns: bmwgroup.jobs/karriere Mehr Insights auch auf Instagram und Facebook @bmwgroupcareers

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