
Technical Lead, Machine Learning
Posted Jul 24

Posted Jul 24
This is a fully remote position, open to applicants in Europe.
• Design and enhance production machine learning systems for applications based on large language models (LLM).
• Create training and evaluation pipelines to ensure ongoing model enhancements.
• Fine-tune foundational models utilizing contemporary adaptation methods such as LoRA, QLoRA, SFT, and DPO.
• Improve inference performance, latency, and GPU resource utilization.
• Generate high-quality training datasets along with evaluation frameworks.
• Take charge of the deployment, monitoring, and reliability of machine learning services in a production setting.
• Assist in establishing engineering standards while guiding a small, high-caliber machine learning team.
• Proven experience in building and deploying production machine learning systems utilized by actual users.
• Proficient in Python and experienced with PyTorch (or JAX).
• Practical experience in LLM fine-tuning and optimizing inference processes.
• In-depth knowledge of machine learning infrastructure, distributed training, or GPU-centric systems.
• Strong engineering mindset emphasizing scalability, reliability, and code quality.
• Ability to take ownership in a dynamic startup environment.
• Competitive cash compensation along with equity.
• Remote-first work environment with opportunities for long-term growth.
Doma
CSC Generation
Accelerant
Capgemini
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