Jobdescription
We are looking for an AI/NLP expert with a passion for PyTorch and Transformer models. If you love complex challenges like text data classification and want to deploy your models into production, then read on!
General Information:
* Start date: ASAP
* latest Start Date: 01/11/2025
* End date: 31/12/2025
* Extension: to be discussed, depending on new project pipeline
* Workload: 50-100%
* Home Office: possible
* Travel: No travel intended
* Working hours: Standard
Tasks & Responsibilities:
* Review and optimize a transformer architecture and training pipeline
* Implement and experiment with advanced techniques to improve performance on fields with severe class imbalance
* Conduct in-depth error analysis to identify patterns in misclassifications and propose data-driven improvements
* Refine and validate the data processing, label mapping, and stratified data splitting procedures to ensure maximum reliability
* Collaborate with our software architect to integrate the final, optimized model into a production-ready API for inference
* Document the final model architecture, training procedures, performance benchmarks, and best practices for future development
Must Haves:
* Educational background: advanced degree in AI/NLP or related field
* Min. 3 years hands-on experience fine-tuning Transformer models
* Demonstrable experience with multi-task and multi-label classification problems, expertise in handling severe class imbalance in text data
* Proficiency in deploying machine learning models as REST APIs
* Strong proficiency in PyTorch, including creating custom model architectures (e.g., multi-head classifiers) and custom loss functions
* Strong software engineering fundamentals and the ability to write clean, modular, and well-documented Python code, experience with Docker
* Professional proficiency in English
* Strong analytical and problem-solving skills, and collaboration abilities
We thank you for your application!