Machine Learning Engineer (m/w/d) ANÜ

Zweck und Ziel der Stelle

Diese Position ist für Arbeitnehmerüberlassung.

This job involves developing and implementing advanced machine learning models for luxury automotive applications. The role requires collecting and preprocessing structured and unstructured data to ensure accuracy and relevance, collaborating with cross-functional teams to integrate ML solutions, deploying and monitoring models in production, and providing data-driven insights to support strategic decisions and enhance customer experiences.

Aufgaben, Kompetenzen und Verantwortung

• 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.

Fachliche Anforderungen

• 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.

Arbeitgeberleistungen / Unternehmensangebot

• Interessante Herausforderungen in einem mittelständischen Motorsportunternehmen mit Tradition
• 30 Tage Urlaubsanspruch
• Attraktive Konditionen mit unbefristeter Anstellung
• Zuschuss zur Rentenvorsorge
• Corporate-Benefits-Programm, Rabatte bei namhaften Onlineshops und Dienstleistern
• Bike-Leasing zu günstigen Konditionen
• Bahn ticket
• Wellpass
• Team- und Firmenevents sorgen für ein gutes Arbeitsklima