Data Scientist

Hands-on experience delivering end-to-end NLP projects. Solid understanding of Machine Learning, Deep Learning, and Transformer-based architectures. Practical experience implementing and deploying models such as LSTM, BERT, or similar architectures in production or real-world applications. Hands-on experience with ML frameworks such as PyTorch or TensorFlow, or JAX.