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Senior AI Platform Engineer(m/w/x)
Developing and optimizing data pipelines for machine learning models using ML/LLM approaches in the in-vehicle domain. Track record leading complex machine learning solutions essential. Six weeks annual leave, overtime compensation.
Anforderungen
- University degree in Computer Science, Data Science, or comparable qualification
- At least five years of professional experience in AI platform engineering, AI training & inference, or AI tooling
- Track record of leading and implementing large and complex technical AI solutions
- Experience with AI solutions on the edge or excitement to transfer knowledge to the in-vehicle domain
- Hands-on experience in machine learning or generative AI and proficiency in modern programming languages such as Python, Node.js/Nest.js, Java/Kotlin, or Go
- Deep understanding of cloud architectures, container orchestration, and (ML)Ops of scalable cloud services
- Very good written and spoken English skills; knowledge of German is an advantage
Aufgaben
- Build and operate AI platforms for data pipelines
- Train, deploy, and run AI models
- Optimize AI models using suitable ML and LLM approaches
- Provide technical leadership and ownership of architecture across teams
- Mentor engineers to achieve operational excellence in AI systems
- Analyze stakeholder requirements and translate them into scalable AI platform features
- Ensure reliability and performance of AI-based systems
- Develop cost-efficient operational solutions for AI systems
- Create solutions for interoperability and load distribution between in-vehicle and cloud platforms
- Develop data and context management solutions for personalized AI experiences
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- Node.js
- Nest.js
- Java
- Kotlin
- Go
- AWS
- Docker
- Kubernetes
Benefits
Flexibles Arbeiten
- Flexible working hours
Mehr Urlaubstage
- 6 weeks annual leave
Attraktive Vergütung
- Overtime compensation
- Attractive and fair remuneration
Sonstige Zulagen
- Annual special payments
Boni & Prämien
- Christmas bonus
- Profit sharing
Weiterbildungsangebote
- Personal and professional development opportunities
Sicherer Arbeitsplatz
- High level of job security
Mitarbeiterrabatte
- Discounted BMW & MINI conditions
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Senior AI Platform Engineer(m/w/x)
Developing and optimizing data pipelines for machine learning models using ML/LLM approaches in the in-vehicle domain. Track record leading complex machine learning solutions essential. Six weeks annual leave, overtime compensation.
Anforderungen
- University degree in Computer Science, Data Science, or comparable qualification
- At least five years of professional experience in AI platform engineering, AI training & inference, or AI tooling
- Track record of leading and implementing large and complex technical AI solutions
- Experience with AI solutions on the edge or excitement to transfer knowledge to the in-vehicle domain
- Hands-on experience in machine learning or generative AI and proficiency in modern programming languages such as Python, Node.js/Nest.js, Java/Kotlin, or Go
- Deep understanding of cloud architectures, container orchestration, and (ML)Ops of scalable cloud services
- Very good written and spoken English skills; knowledge of German is an advantage
Aufgaben
- Build and operate AI platforms for data pipelines
- Train, deploy, and run AI models
- Optimize AI models using suitable ML and LLM approaches
- Provide technical leadership and ownership of architecture across teams
- Mentor engineers to achieve operational excellence in AI systems
- Analyze stakeholder requirements and translate them into scalable AI platform features
- Ensure reliability and performance of AI-based systems
- Develop cost-efficient operational solutions for AI systems
- Create solutions for interoperability and load distribution between in-vehicle and cloud platforms
- Develop data and context management solutions for personalized AI experiences
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- Node.js
- Nest.js
- Java
- Kotlin
- Go
- AWS
- Docker
- Kubernetes
Benefits
Flexibles Arbeiten
- Flexible working hours
Mehr Urlaubstage
- 6 weeks annual leave
Attraktive Vergütung
- Overtime compensation
- Attractive and fair remuneration
Sonstige Zulagen
- Annual special payments
Boni & Prämien
- Christmas bonus
- Profit sharing
Weiterbildungsangebote
- Personal and professional development opportunities
Sicherer Arbeitsplatz
- High level of job security
Mitarbeiterrabatte
- Discounted BMW & MINI conditions
Über das Unternehmen
BMW Group
Branche
Automotive
Beschreibung
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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