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Agmis Linkedin · Posted 1mo ago

AI/ML Data Scientist

Kaunas, Kaunas, Lithuania

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Indexed description

Do you want to develop AI solutions that transform how businesses work with data? Join our growing team as a Data Scientist and apply your skills in Python,ML, and cloud services to create impactful solutions in natural language processing and predictive analytics.


What you'll do:

  • Design, develop, and deploy machine learning models (NLP, Recommendation Systems, Predictive Analytics).
  • Build scalable data pipelines and APIs using Python, FastAPI, Docker.
  • Analyze and preprocess data to ensure quality model training and performance.
  • Collaborate with cross-functional teams (developers, data engineers, researchers) on R&D and production projects.


We'd like you to bring:

  • 4+ years of hands-on Python programming experience.
  • Solid knowledge of machine learning, deep learning (mainly PyTorch).
  • Experience with Natural Language Processing (Hugging Face, LLMs, RAG).
  • Experience with databases and REST APIs.
  • Familiarity with software engineering tools: Git, Jira, Agile methodologies.
  • Ability to work independently and implement real-world AI solutions.
  • Strong problem-solving, analytical, and communication skills.
  • Great communication skills with both: technical and non technical teams.
  • Experience with cloud platforms is a big plus.


What we offer:

  • You’ll have conditions for continued growth and professional development: you can have all the books and training courses you want, certification cost coverage, as well as experienced colleagues who’ll be there to support you;
  • You’ll enjoy adventures with the team: team retreats, workation trips, and just fun games at the office;
  • We have professional and supportive team: we are open to feedback and always ready to help you;
  • Flexibility: you can work from home, from the office, or mix it up; you will have flexible working hours as well;
  • Health insurance after 9 months;
  • Gross salary starting at 4000-5600 eur/month, depending on skills and experience - we are open to a discussion.


Please note that all data collected will be handled in accordance with our candidates' privacy policy (https://agmis.com/privacy-policy/) and will only be used to evaluate your candidacy.

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