Job
In this role, you will develop automated annotation pipelines for industrial image datasets to optimize AI models and explore techniques like active learning and data augmentation to improve model performance.
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Job technologies
Your role in the team
- Work with extensive image datasets from real industrial applications and lay the foundation for powerful AI models.
- Investigate existing data annotation procedures and develop automated annotation pipelines to make the currently semi-automated, iterative, and time-consuming process more efficient.
- Develop solutions for new industrial use cases where only a limited amount of annotated training data is available.
- Examine and evaluate one or more of the following approaches as part of your scientific work: Active Learning, Ensemble Learning, Model Distillation, Synthetic Data Generation, Hyperparameter Optimization.
Our expectations of you
Education
- Degree in Artificial Intelligence, Computer Science, Mathematics, or a comparable field of study.
Qualifications
- Good command of English.
- Knowledge in Deep Learning, Computer Vision, and Hyperparameter Optimization.
- Independent, structured, and analytical working style.
- Interest in scientific questions and innovative solutions in the field of Artificial Intelligence.
- Creativity and enthusiasm for exploring and practically implementing new methods.
Experience
- Programming skills in Python and PyTorch as well as experience with REST APIs.
What we offer
- Start date of the job posting: 14.10.26.
- Location for the job posting: Waldkirch (near Freiburg).
- Full-time/Part-time: Full-time.
Benefits
Higher take-home pay
Food & drink
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
We are one of the leading manufacturers of sensors and sensor solutions for industrial automation. Our innovative technology allows us to offer individual solutions that are tailored precisely to your needs. This is how we ensure that you always achieve the best possible performance.
- 250+ Employees
- Established Company
- Onsite, Hybrid, Full Remote
- Industry, Production
Employer reviews
- Career growth
- 3.6
- Working conditions
- 4.4
- Team culture
- 3.8
- Engineering
- 2.8
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