Tasks:
- Performing Data Science tasks in the AI/NLP/CV team;
- Researching, experimenting, prototyping, and building models and components for content understanding pipelines, including state-of-the-art neural architectures for NLP (and some types of Computer Vision) – model selection, pre-training, fine-tuning, optimization, etc. on the latest GPU hardware;
- Developing, transforming, and reinforcing the quality datasets needed for specific NLP tasks;
- Automating information extraction from scanned and digital documents of various formats (PDF, Word, etc.).
Must-haves:
- Bachelor’s degree in Data Science, Math & Computer Science, Statistics, or related field;
- Experience in a similar job, including internship and your own projects, for 1+ year;
- Practical experience in building your own Deep Learning models with TensorFlow, Keras and/or PyTorch, etc.;
- Solid experience with Python;
- Basic knowledge of Deep Learning methods for Computer Vision and/or NLP and an understanding of the statistics and math behind Deep Learning;
- Experience with Data Analysis tools;
- User experience with Linux;
- Level of English – Intermediate.
