Remote ML&NLP Engineer (NLP, Transformers, PyTorch, Deep Learning)
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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.
Benefits:
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.