- ...limitations . ~ Ability to evaluate AI quality using structured datasets, metrics, and experiments. ~ Knowledge of basic ML and NLP concepts (supervised learning, embeddings, evaluation metrics). ~ Strong problem-solving mindset, fast iteration speed, and high...Віддалена робота
- ...Extensive experience in applying data science to product development Experience with classic Machine Learning, and Deep Learning in NLP Nice to have: Experience with embedding models (bi-encoders, cross-encoders, etc). Understanding of information retrieval...Віддалена робота
- ...engineering, adapter-based fine-tuning (PEFT), and multi-modal extensions. Requirements: — Strong background in classical ML and NLP — Solid knowledge of deep learning, going beyond just LLMs (e.g., CNNs, RNNs, Transformers, Autoencoders) — Proficiency in Python...Віддалена роботаГнучкий графік