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Wallet icon Coin icon Rate 7 200 € - 8 000 € / month info
Timer icon Form of cooperation Full-time / 75% Remote
Briefcase icon Sector Healthcare and Pharmacy
Location icon Location Praha

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 12 months with possibility of extension
Period of cooperation 02.06.2025 - 02.06.2026
Start date 02.06.2025 or by agreement
Technology
  • Python
  • LLM Large Language Model
  • TensorFlow
  • PyTorch
  • NLP Natural Language Processing
Languages
  • English flag English - basics, A1/A2

Project description

  • design and training of custom language models (LLM) optimized for domain-specific data
  • leading strategies for fine-tuning and optimizing generative models with an emphasis on performance, accuracy, and efficiency
  • implementation of methods such as RLHF (Reinforcement Learning with Human Feedback) and LoRA for model adjustment
  • creation and management of embedding strategies and vector databases for efficient querying and inference
  • cooperation with domain experts in mapping research scenarios to model solutions
  • development of tools and libraries for scalable use of generative AI within the company
  • evaluation of model performance and interpretability with an emphasis on safety, ethics and bias
  • documentation of results and research procedures, active participation in internal and external knowledge sharing

Project requirements

  • demonstrable senior experience in the field of NLP or language model development
  • expert knowledge of generative AI architectures (Transformer, GPT, BERT, T5, etc.)
  • practical experience with training LLM models and their adaptation (fine-tuning, prompt engineering)
  • advanced knowledge of Python and libraries such as Hugging Face Transformers, DeepSpeed, PyTorch or TensorFlow
  • proven experience with RLHF, LoRA or other techniques for model modification and optimization
  • experience with vector databases (e.g. FAISS, Weaviate, Pinecone) and embedding management
  • excellent knowledge of cloud platforms (ideally AWS) and ability to scale training/inference
  • active knowledge of English at least at level C1 for working in an international team
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