Mid/Senior AI LLM Engineer

📋 Description

• Fine-tune and optimize existing open-weight large language models to improve conversational
• Prepare, curate, and enhance training datasets to support effective model learning, reduce
• Design and implement evaluation frameworks, benchmarks, and testing methodologies to measure model
• Improve conversational memory, personality consistency, and the ability of models to maintain
• Develop multilingual conversational capabilities and support interactions involving multiple
• Investigate model failures and performance limitations, adjusting training data, prompts, model

🎯 Requirements

• Proven hands-on experience fine-tuning open-weight large language models and deploying models into
• Strong Python programming skills, including experience developing, testing, and maintaining
• Practical experience with PyTorch and Hugging Face or comparable machine-learning frameworks and
• Experience with model training and adaptation techniques such as supervised fine-tuning (SFT)
• Familiarity with preference-based training and alignment techniques, such as Direct Preference
• Experience preparing and managing training datasets, improving data quality, and developing

🎁 Benefits

• Fully remote working arrangement within Europe.
• Long-term collaboration opportunities, with B2B contracting preferred.
• 20 working days of paid leave.
• A monthly health insurance allowance of $100.
• Equipment budget to support your remote working setup.
• Access to AI development tools and technologies.