ML&NLP Engineer (NLP, Transformers, PyTorch, Deep Learning)
Description For ML&NLP Engineer (NLP, Transformers, PyTorch, Deep Learning)
ProjectFitter is seeking a skilled ML&NLP Engineer with 2.5+ years of experience to join their team in a remote capacity. This role focuses on transforming complex problems into elegant AI solutions, particularly in the realm of support automation. The ideal candidate will have strong expertise in NLP, transformers, and deep learning frameworks like PyTorch and TensorFlow. You'll work on maintaining and improving current solutions while developing new features in a collaborative environment. The position offers the flexibility of remote work, USD compensation, and a startup atmosphere backed by a holding company's stability. The role requires deep technical knowledge in machine learning, particularly in NLP, along with practical experience in Python and various ML frameworks. Join a team that values technical excellence, innovation, and open communication, where you'll have the opportunity to make significant contributions to AI-driven solutions.
Responsibilities For ML&NLP Engineer (NLP, Transformers, PyTorch, Deep Learning)
- Improve and maintain current solutions for support automation
- Develop new features after being fully familiar with the architecture
- Discuss the project strategy, brainstorm with the team
Requirements For ML&NLP Engineer (NLP, Transformers, PyTorch, Deep Learning)
- 2.5+ years of commercial experience in Machine Learning (including NLP)
- Fluency in written and spoken English or Ukrainian (C1-C2)
- Experience working with transforming models (usage, re-training, fine tuning)
- Experience with Deep Learning frameworks: Pytorch, Tensorflow
- Solid experience with Python, OOP, Rest API (Flask, Celery)
- Good knowledge of NLP tools and libraries: NLTK, Spacy, scikit-learn, GenSim
- Experience with Seq2Seq models
- Experience with Docker and Docker-compose
- Deep understanding of theoretical concepts Language modeling, Named Entity Recognition, text classification, clustering, topic modeling, embedding, ML metrics
Benefits For ML&NLP Engineer (NLP, Transformers, PyTorch, Deep Learning)
- Remote work in Ukraine or in a similar time zone
- Cozy startup atmosphere with stability from a holding company
- Compensation in USD
- Adequate, friendly management and no bureaucracy
- Plenty of interesting talks and communication with the team
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