Machine Learning Engineer (m/w/d) (Techniker/in - Maschinentechnik (Entwicklungstechnik)/Bachelor Professional in Technik)
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.
Ihr Partner:
With over 50 locations, Orizon is one of Germany’s leading staffing service providers and part of the international BREXA Holdings Inc. We offer tailored staffing solutions ranging from traditional temporary staffing to specialized recruiting and outsourcing services. Our subsidiaries, OTTO Work Force Deutschland GmbH and jobs in time medical GmbH, round out our portfolio with EU recruiting and medical staffing services.
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 applicationLucid and able to quickly understand intelligence and insightsAbility to communicate complex topics in a stakeholder-appropriate way
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