Remote Data Scientist (NLP, Transformers, PyTorch, Deep Learning)

Description:

• The position is for a Data Scientist who is not afraid of challenges and is eager to transform complex problems into elegant AI solutions.
• Responsibilities include improving and maintaining current support automation solutions.
• The role involves developing new features after fully understanding the architecture.
• The candidate will discuss project strategy and brainstorm with the team.

Requirements:

• A minimum of 2.5 years of commercial experience in Machine Learning, specifically in NLP.
• Experience with transformer models, including usage, re-training, and fine-tuning.
• Proficiency in Deep Learning frameworks such as PyTorch and TensorFlow.
• Significant programming experience in Python, including OOP, Rest API (Flask, Celery), and Docker.
• Strong knowledge of NLP tools and libraries, including NLTK, Spacy, scikit-learn, and GenSim.
• Experience with Seq2Seq models.
• Familiarity with Docker and Docker-compose for effective containerization and deployment strategies.
• A deep understanding of theoretical concepts such as Language Modeling, Named Entity Recognition, text classification, clustering, topic modeling, embedding, and ML metrics.

Benefits:

• The position offers business hours.
• Remote work is available within Ukraine or in nearby time zones.
• The work environment is a cozy startup atmosphere backed by a stable holding company.
• There is an opportunity to influence the product architecture.
• The management is friendly and reasonable, with no bureaucracy.
• The role includes many interesting tasks and communication with the team.
• Competitive compensation is offered in USD.