Description:

The position is for a ML&NLP Engineer who enjoys tackling challenges and creating AI solutions.
The role involves improving and maintaining existing support automation solutions.
The engineer will develop new features after gaining a thorough understanding of the architecture.
Team collaboration is essential, including discussing project strategies and brainstorming.

Requirements:

Candidates must have at least 2.5 years of commercial experience in Machine Learning, specifically in 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.
A 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.
Employees will enjoy a cozy startup atmosphere while benefiting from the stability of a holding company.
Compensation will be provided in USD.
The company promotes adequate, friendly management with minimal bureaucracy.
There will be plenty of interesting discussions and communication opportunities with the team.