Remote ML&NLP Engineer (NLP, Transformers, PyTorch, Deep Learning)

Description:

• The position is for a ML&NLP Engineer who enjoys tackling challenges and creating AI solutions.
• Responsibilities include improving and maintaining current support automation solutions.
• The engineer will develop new features after becoming familiar with the existing architecture.
• The role involves discussing project strategy and brainstorming with the team.

Requirements:

• Candidates must be fluent in written and spoken English or Ukrainian at a C1-C2 level.
• A minimum of 2.5 years of commercial experience in Machine Learning, specifically including NLP, 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 (OOP), 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 opportunities with the team.