Artificial Intelligence Berlin, Germany Full-time

Senior Applied AI Scientist - NLP

Join CyberTide GmbH and help shape the future of AI-driven data security solutions.

About the Role

CyberTide GmbH is seeking an experienced Applied AI Scientist to join our team. This role focuses on designing, fine-tuning, and optimizing transformer architectures, particularly open-source LLM models, with a strong emphasis on efficiency, robustness, and performance optimization.

What You Will Do

Architect, fine-tune, and optimize existing open-source LLMs (e.g. Mistral, Llama, Gemma, BERT, etc) for specific tasks and efficiency.
Enhance model performance using advanced techniques such as parameter-efficient fine-tuning (e.g., LoRA, QLoRA) and transformer architecture optimization.
Focus on NLP-specific challenges, including language understanding, generation, classification, sequence-to-sequence tasks, and developing novel architectures or improving existing ones to enhance NLP model performance.
Research, experiment, and innovate in model architecture optimization, focusing on enhancing transformer-based models for better scalability and efficiency.
Develop and implement efficient training pipelines for transformer models, including data preprocessing, augmentation, distributed training, and mixed-precision training.
Apply advanced prompt engineering techniques to improve model outputs and alignment with user requirements.
Collaborate with clients to deliver tailored technical solutions, translating customer requirements into effective AI approaches.
Ensure AI models are designed to enhance user experience and address end-user needs effectively.
Collaborate closely within a small, agile startup team, where your ideas and expertise will have a direct impact. Exhibit strong communication skills to articulate concepts clearly and contribute meaningfully across diverse functions.

Your Profile

At least 3 years of experience in machine learning, Deep learning and data Science, with a minimum of 1 year working specifically with LLMs, fine-tuning, transformer architecture optimization.
Proven experience in fine-tuning and optimizing transformer-based models, including but not limited to Mistral, LLaMA, Gemma, BERT, and other open-source architectures.
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
Familiarity with the Hugging Face ecosystem, including Transformers library and Model Hub. Contributions to the Hugging Face community or experience with Hugging Face Spaces is a plus.
Experience with training efficiency optimization techniques, including mixed-precision training, model pruning, quantization, and knowledge distillation.
Knowledge of AI model inference techniques and frameworks, including Retrieval-Augmented Generation (RAG) for enhancing contextual understanding and response generation.
Fluency in English. German or French language skills are preferred, as they align with our target market.
Ability to continuously learn and adapt cutting-edge techniques to enhance model performance and deployment efficiency.
Thrive in a fast-paced startup environment where rapid iteration and efficient delivery are essential to success, ensuring consistently high-quality results within tight deadlines.

Cutting-edge Technology

Opportunity to work in a cutting-edge AI startup tackling real-world data security challenges for leading organizations in regulated industries, empowering them to securely unlock AI capabilities.

Remote-Friendly

Remote-friendly environment.

Direct collaboration with the founders, providing substantial ownership over projects and the potential to take on a leadership role as the company grows.

About CyberTide

CyberTide GmbH is an AI startup based in Berlin, Germany, specializing in AI-native data security solutions. Our mission is to empower organizations to safeguard their sensitive data through innovative, efficient, and scalable AI technologies.

As a part of our team, you will work on challenging projects, contributing to the development of state-of-the-art solutions that address critical security needs across various industries.