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Data Scientist (NLP, LLM, Pytorch) at Outstaff Your Team
Job details
Our spin-off product and team are looking for an inquisitive Data Scientist (NLP) who loves to create cool products and solve difficult challenges, as well as develop new useful features.
Product:
A solution created to automate support (text communication) for popular CRM systems using ML. The product is now in production.
Team:
We already have an experienced CTO with a background in Data Science and Machine Learning, a Back-end Developer and a Digital Marketing Specialist.
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.
Requirements
What you will need:
- 2.5+ years of commercial experience in Machine Learning (including NLP);
- 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);
- Experience with Docker and Docker-compose for effective containerization and deployment strategies;
- Good knowledge of NLP tools and libraries: NLTK, Spacy, scikit-learn, GenSim;
- Experience with Seq2Seq models;
- 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 😊
Benefits
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.
Helping global startups scale faster by helping them build remote teams since 2010.
We use our 10-year experience to help great Tech companies grow faster by providing outsourced and outstaffed teams that become part of their business when it comes to product development.
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