Remote ML&NLP Engineer (NLP, Transformers, PyTorch, Deep Learning)
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Description:
The position is for an ML&NLP Engineer who is not afraid of challenges.
You will have the opportunity to transform complex tasks into elegant AI solutions and build features that make the world say "Wow!".
Responsibilities include improving and maintaining current support automation solutions.
You will develop new features after fully understanding the architecture.
You will discuss project strategy and brainstorm with the team.
Requirements:
You must have 2.5+ years of commercial experience in Machine Learning, specifically in NLP.
Experience with transformer models, including usage, re-training, and fine-tuning is required.
Proficiency in Deep Learning frameworks such as PyTorch and TensorFlow is necessary.
Significant programming experience in Python, including OOP, Rest API (Flask, Celery), and Docker is essential.
Strong knowledge of NLP tools and libraries such as NLTK, Spacy, scikit-learn, and GenSim is required.
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 business hours.
Remote work is available in Ukraine or anywhere in a nearby time zone.
You will work in a cozy startup atmosphere with the stability of a holding company.
There is an opportunity to influence the product architecture.
The management is adequate and friendly, with no bureaucracy.
You will encounter many interesting tasks and have communication with the team.
Competitive compensation is offered in USD.
Apply now
Please, let ProjectFitter know you found this job
on RemoteYeah
.
This helps us grow π±.