Machine Learning Engineer (m/w/d)

Machine Learning Engineer (m/w/d)

Unser Angebot:

- Attractive working conditions with very good prospects

- Personal support and qualified advice offered

- Wages based on the ERA Bayern collective agreement

- 30 days annual leave

Ihre zukünftige Arbeitsstelle:

Our client is a publicly traded automobile and motorcycle manufacturer headquartered in Munich. Its product portfolio includes various automobile brands and a motorcycle brand. With approximately 99 billion euros in revenue and around 120,700 employees, it is one of Germany’s largest companies and, with an annual production of 2.26 million vehicles, ranks among the world’s 15 largest automakers.

Ihre Aufgaben:

Develop and Implement ML Models: Create advanced machine learning models for luxury automotive applications

Data Preparation and Quality: Collect and preprocess data and ensure accuracy.

Model Deployment and Maintenance: Deploy and monitor models in production, ensuring ongoing performance

Provide Data-Driven Insights: Offer insights to support strategic decisions and enhance customer experiences

Documentation and Reporting: Document projects and communicate findings effectively

Ihr Profil:

Academic degree in a technical field with a strong focus on machine learning or proven track record of developing machine learning applications (i.e. in open source projects)

Passion for Machine Learning & A.I. and its potential within business applications

Outstanding Python skills and appreciation for clean and well documented code

Experience with developing applications in the cloud

Ability to inform and educate others on Machine Learning & A.I. principles and their application

Lucid and able to quickly understand intelligence and insights

Ability to communicate complex topics in a stakeholder-appropriate way

Bewerbung und Rückfragen

Wir freuen uns auf Bewerbungen (unter Angabe von ID-Nummer 8306, Verfügbarkeit und Gehaltsvorstellung) gerne per E-Mail an bewerbung.muenchen-sued@orizon.de oder über unser Bewerbungsmodul auf dieser Seite.
Für Fragen steht Frau Henssler gern unter der Telefonnummer +49 89 201827533 zur Verfügung.

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