Experis® is a global leader in IT professional resourcing, permanent recruitment, project solutions, and managed services. With over 25 years of experience in Switzerland and offices in Zürich, Basel, and Geneva, we connect top IT talent with leading companies. Our mission is to help professionals unlock their potential and thrive in dynamic, future-ready careers.Are you a Natural Language processing expert ready to drive impactful projects on a global scale?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.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.
Nice to Haves:
Direct experience working with biomedical, scientific, or other technical document formats.
Familiarity with advanced data splitting techniques for multi-label datasets.
