Remote (Fluent English or Ukrainian) Data Scientist (NLP, LLM, Pytorch)

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Description:

  • The company is seeking a Data Scientist (NLP) to join their team, focusing on creating innovative products and tackling challenging tasks in the field of Natural Language Processing.
  • The role involves working on a solution designed to automate text communication support for popular CRM systems using Machine Learning, which is currently operational.
  • The team consists of an experienced CTO with a Data Science and Machine Learning background, a Back-end Developer, and a Digital Marketing Specialist.
  • Responsibilities include enhancing and maintaining existing support automation solutions, developing new features post understanding the architecture, and collaborating on project strategies with the team.

Requirements:

  • Candidates should have at least 2.5+ years of commercial experience in Machine Learning, specifically in NLP.
  • Proficiency in transforming models, including usage, re-training, and fine-tuning.
  • Familiarity with Deep Learning frameworks such as Pytorch and Tensorflow.
  • Strong skills in Python, Object-Oriented Programming, and Rest API (Flask, Celery).
  • Experience with Docker and Docker-compose for efficient containerization and deployment.
  • Good understanding of NLP tools and libraries like NLTK, Spacy, scikit-learn, and GenSim.
  • Experience with Seq2Seq models and a deep grasp of theoretical concepts like Language modeling, Named Entity Recognition, text classification, clustering, topic modeling, embedding, and ML metrics.
  • Full immersion in Machine Learning and a good sense of humor are considered advantageous.

Benefits:

  • The position offers the flexibility of remote work in Ukraine or a similar time zone.
  • Enjoy a cozy startup environment with stability provided by a holding company.
  • Compensation will be in USD.
  • Experience a supportive and friendly management style with minimal bureaucracy.
  • Engage in plenty of interesting discussions and communication with the team.
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