Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Vilsbiburg
- Working Model
- Onsite
Job Summary
In this role, you develop AI solutions to optimize production and maintenance processes, guiding projects from problem clarification to production utilization using Machine Learning and cloud technologies.
Job Technologies
Your role in the team
- In your role, you develop, operationalize, and scale industrial AI solutions for production, quality, and maintenance processes.
- They accompany AI use cases from problem clarification through data analysis, modeling, and proof of concept to operational deployment, supporting business units, plants, and IT departments in implementation.
- Through an agile, international team and exciting, diverse tasks, you can actively contribute to a corporate family with more than 65,000 car enthusiasts in over 20 countries.
- Implementation of data science and predictive analytics use cases with data from all business areas (from production through IT to administrative sectors), with a focus on industrial data.
- Application of suitable predictive algorithms (Machine Learning, Deep Learning, etc.).
- Implementation of proofs of concept, further development and scaling of internal AI products, as well as internal consulting on traditional and generative AI.
- Conducting process- and development-related analyses, creating forecast models, as well as analyzing, evaluating, and further developing new technologies for data analytics.
- Support in establishing and optimizing internal AI guidelines, standards, and processes within the framework of our Center of Excellence AI.
- Conducting benefit assessments, market observations, and benchmarks.
- Support of the specialist departments with technical questions regarding the analysis, selection, and implementation of AI use cases.
- Presentation of products, processes, and technologies within the company as well as support for plant and customer presentations.
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Our expectations of you
Education
- Completed university degree (Statistics, Mathematics, Computer Science, Business Informatics, or similar) or completed vocational training with relevant further qualification.
Qualifications
- Solid knowledge of Python as well as cloud platforms such as AWS or Microsoft Azure.
- Knowledge of generative AI, RAG, Prompt Engineering, and agentic AI systems is advantageous.
- Very good knowledge of German and English.
- Willingness to collaborate internationally and to undertake occasional business trips.
Experience
- Several years of professional experience in one of the areas of Machine Learning, Deep Learning, or Generative AI, ideally in an industrial environment.
- Experience with time series, sensor, image, or audio data.
- Experience with MLOps, deployment, monitoring, or operation of productive AI solutions is an advantage.
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What we offer
- A challenging yet solid working environment with significant scope for shaping in one of the leading international automotive supplier companies.
- Team-oriented corporate culture as well as communication on an equal footing with high knowledge exchange.
- Permanent employment in a family-owned company with short decision paths and high visibility of personal achievements.
- Numerous social benefits, from vacation and Christmas bonuses to company pension schemes.
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Benefits
Higher Take-Home Pay
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Dräxlmaier Group
The DRÄXLMAIER Group is a global leader in the automotive industry thanks to its innovative products. As a reliable system partner of renowned vehicle manufacturers such as Audi, BMW, Jaguar, Land Rover, Maserati, Mercedes-Benz, MINI, Porsche and VW, we develop and manufacture complex wiring systems as well as central electrical and electronic components for premium cars. Our exclusive interiors as well as our storage systems for electromobility are also very popular with our customers. We serve the entire process chain from the initial idea through the development and production process to sequence-accurate delivery to our customers' production lines.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Employer reviews
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(1 Review)Career Growth
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3.6Engineering
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