Data Scientist

Experienced Python developer with at least 3+ years of Python programming experience
Experience with information extraction tasks using heuristics, pattern rules or NLP methods such as TF-IDF, NER, or similar -> At least 1-2 years of NLP experience
Experience training and deploying NLP models for text classification and feature presentation, preferably with deep neural networks
Experience processing messy text data, especially HTML and fragments in Python
Experience operating ML models for production inference -> Wrapping in APIs, monitoring, scaling, etc.
Ability to break down large complex problems and resolving ambiguity by asking the right questions to stakeholders
Experienced with at least one of Pytorch, Keras, Tensorflow for low-level training/inference of deep neural networks in Python
Experience training and using deep NLP models for text classification and/or named-entity recognition (for example BERT, T5, Universal Sentence Encoder, RoBERTa, XLM, etc. ) with higher-level libraries like Huggingface Transformers, Spacy, or similar
Experience with some NLP libraries for text processing in Python: NLTK, Spacy, Gensim, Textblob, FastText
Generic machine-learning skills for model evaluation etc: Scikit-learn