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 will 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.

What we expect from you:

• 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.

• Proficient in English and Lithuanian.

• Experience with cloud platforms is a big plus.

What we offer:

• A chance to collaborate with product teams working with computer vision solutions;
• You’ll have conditions for continued growth and professional development: you can have all the books and training courses you want, 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 - 7000 eur/month, depending on skills and experience.

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.