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À propos
Basic Requirements: Educational Background Pursuing or recently completed a degree in Computer Science, Applied Mathematics, Data Science, or a related field. Strong foundation in machine learning, deep learning, and natural language processing (NLP) and LLM. Technical Skills Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc. Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases. Comfortable working with LLM APIs and integrating them into applications. A solid understanding of machine learning concepts (e.g., supervised/unsupervised learning, NLP, computer vision) and algorithms is crucial. Proficiency in Python is essential. C++ also valuable. Problem-Solving & Collaboration Ability to work in a fast-paced research and development environment. Strong analytical thinking and debugging skills. Experience with rapid prototyping in open-source AI/ML projects. We're doing work that matters. Help us solve what others can't.
Compétences linguistiques
- English
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