Data Scientist (NLP, Transformers, PyTorch, Deep Learning)
Sarajevo, Federation of Bosnia and Herzegovina, Bosnia and Herzegovina - Remote
ProjectFitter
AI-powered sourcing solution that matches tech talent to your job needs, streamlining hiring for tech companies.Are you a Data Scientist who thrives on challenge? Here, you'll have the opportunity to transform complex problems into elegant AI solutions and engineer features that elicit a resounding "Wow!" from the world.
Together we will:
- 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.
What you will need:
- 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 for effective containerization and deployment strategies;
- Deep understanding of theoretical concepts Language modeling, Named Entity Recognition, text classification, clustering, topic modeling, embedding, ML metrics.
Would be a plus:
- Full immersion in Machine Learning;
- Good sense of humor 😊
We offer:
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Classification Clustering Deep Learning Docker Flask Machine Learning NLP NLTK OOP Python PyTorch REST API Scikit-learn spaCy TensorFlow Topic modeling Transformers
Perks/benefits: Startup environment
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