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 🌱.
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