Description: * Proven experience in system development (with focus on APIs and integrations with language models). * Proficiency in Fine-Tuning, Transfer Learning, and Prompt Engineering techniques. * Solid knowledge of applied NLP (tokenization, embeddings, RAG, etc.). * Ability to work with distributed and scalable architectures. Advantages: * Experience with frameworks such as PyTorch, TensorFlow, or Hugging Face. * Hands-on experience with MLOps tools and model deployment (Docker, FastAPI, MLflow). * Interest in messaging systems, automation, and AI applied to conversational products. * Design, train, and validate language models (LLMs) applied to NLP. * Build and maintain scalable text pre- and post-processing pipelines. * Develop and integrate services and APIs for consuming models in messaging and conversational automation systems. 2512070202191909327