Due to the rapid growth of our R&D team we now have a vacancy for NLP engineer
Possible tasks:
development and improvement of solutions for:
financial data analysis
skills recommendation
entity extraction from text (NER)
text preprocessing and normalization
Minimum qualifications:
— 1.5+ years of relevant work experience in NLP/RecSys
— Solid practical and theoretical knowledge of Statistics, Machine Learning and Deep Learning;
— Strong knowledge of Python (and all the usual libraries e.g. NumPy, Pandas, nltk, spaCy);
— NLP experience (text classification, NER, similarity search);
— Experience with at least one of Deep Learning frameworks: PyTorch / JAX/Tensorflow;
— Theoretical understanding, practical implementation of classical and Neural Network driven NLP (RNN, LSTM, Transformers);
— Experience with Unix tools (e.g. bash scripting);
— Ability to turn the prototype and notebook scripts into a deployable solution as an API service (experience with one of the following: FastAPI / Flask / Django) + Docker.
— Github experience
Preferred qualifications:
— Previous experience with solutions for job boards or recommendation/matching
— 3+ years of relevant work experience
— MSc or PhD degree in Computer Science, Applied Math or related field
— Experience working on tasks end-to-end - dataset preparation, model training, metrics evaluation, deploying the solution as API
— Experience with models' optimization techniques and distributed model training
— Experience creating tasks for data labelers
— MLOps experience (data & model versioning, monitoring, model hosting and deployment, scalability e.g. MLFlow/wandb/Neptune.ai, DVC)
We offer:
— Flexible working hours
— Possibility to work remotely
— Competitive compensation with regular performance-reviews
— 20 days of paid vacation
— Non-trivial tasks, ability to work with cutting-edge technologies
— Long-term enjoyable cooperation

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