Jobdetails We are looking for an AI/NLP expert with a passion for Py Torch 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: ASAPlatest 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 Py Torch, 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!mehr anzeigen We are looking for an AI/NLP expert with a passion for Py Torch 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: ASAPlatest 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 Py Torch, 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!mehr anzeigen