Description:

The position is for a Data Scientist specializing in NLP, Transformers, PyTorch, and Deep Learning.
The role involves improving and maintaining current solutions for support automation.
The candidate will develop new features after becoming fully familiar with the architecture.
The job includes discussing project strategy and brainstorming with the team.

Requirements:

The candidate must have at least 2.5 years of commercial experience in Machine Learning, including NLP.
Fluency in written and spoken English or Ukrainian at a C1-C2 level is required.
Experience with transforming models, including usage, re-training, and fine-tuning, is necessary.
Proficiency in Deep Learning frameworks such as Pytorch and Tensorflow is essential.
Solid experience with Python, Object-Oriented Programming (OOP), and Rest API (Flask, Celery) is required.
Good knowledge of NLP tools and libraries, including NLTK, Spacy, scikit-learn, and GenSim, is expected.
Experience with Seq2Seq models is necessary.
Familiarity with Docker and Docker-compose for effective containerization and deployment strategies is required.
A deep understanding of theoretical concepts such as Language modeling, Named Entity Recognition, text classification, clustering, topic modeling, embedding, and ML metrics is essential.

The position offers remote work opportunities in Ukraine or in a similar time zone.
The work environment is described as a cozy startup atmosphere with stability from a holding company.
Compensation will be provided in USD.
The management is adequate and friendly, with no bureaucracy.
There will be plenty of interesting discussions and communication with the team.