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.
Responsibilities include improving and maintaining current solutions for support automation.
The engineer will develop new features after becoming familiar with the existing architecture.
Team collaboration is essential, including discussing project strategy 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, 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.
Benefits:
The position offers remote work opportunities in Ukraine or in a similar time zone.
Employees will enjoy a cozy startup atmosphere with the stability provided by a holding company.
Compensation will be provided in USD.
The company promotes adequate, friendly management with no bureaucracy.
There will be plenty of interesting discussions and communication with the team.
Apply now
Please, let ProjectFitter know you found this job
on RemoteYeah
.
This helps us grow π±.