Wrocław, Wrocław, Lower Silesian Voivodeship, Polska
UPVANTA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
5. 9. 2025
Informacje o stanowisku
about-project :
You will focus on training and fine-tuning large language models (LLMs) to support our product that generates HTML from prompts, inspired by email-like instructions. Our stack leverages diffusion models and pre-trained LLMs.
This is a hands-on role where your work will directly influence the product and shape the roadmap after launch.
responsibilities :
Train, fine-tune, and evaluate LLMs for real-world applications.
Collaborate closely with the team to integrate models into our HTML-generation product.
Optimize model performance and training pipelines.
Contribute to the roadmap for future LLM enhancements post-MVP.
requirements-expected :
Strong experience in training and fine-tuning LLMs (transformer-based models, diffusion models a plus).
Solid Python and ML framework skills (PyTorch, TensorFlow, Hugging Face, etc.).
Experience with prompt engineering and real-world LLM deployments.
Ability to work independently in a small, fast-moving team.
Enthusiasm for cutting-edge AI applied to practical products.
