Natural language processing expert (m/f/d)
For our client, a well-known pharmaceutical company in Basel, we are looking for an NLP Expert (m/f/d).
Background
The ideal candidate is an expert AI/NLP consultant with hands-on experience fine-tuning Transformer models and strong proficiency in PyTorch. They should have demonstrable experience with multi-task and multi-label classification, expertise in handling severe class imbalance in text data, and proficiency in deploying ML models as REST APIs. Strong software engineering fundamentals are also essential.
General Information
- Start date: asap
- Latest Start Date: 01.11.25
- Planned duration: 31.12.25
- Extension: possible
- Workplace: Basel
- Workload: 50- 100%
- Travel: no
Tasks and 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
- Strong analytical and problem-solving skills, and collaboration abilities
Nice to Have:
- Direct experience working with biomedical, scientific, or other technical document formats
- Familiarity with advanced data splitting techniques for multi-label datasets
- Experience with MLOps principles and tools
Contact
Jan Schmitz-Elsen
Talent Acquisition Consultant
+41 61 500 01 74
We look forward to receiving your online application with your CV!