Active ML (nice to have) Machine Learning (regular) Polish (advanced) English (advanced) Python (advanced) R&D Interactive Machine Learning Team in QED Software is looking for a full-time Machine Learning Engineer (Mid). You will be an integral part of our team that develops novel methods and solutions in domains of active machine learning and human based labeling. Your experience will be an asset to the team leader in key decision making. You will be co-responsible for machine learning components in one of our AI Solutions - Label in the Loop. Your day-to-day tasks will include working on ML libraries and extending their functionalities based on business needs-driven research that you will conduct. In QED Software the R&D Teams work hand in hand with Engineering Teams to deliver commercial quality solutions as the final product. You will get a broad understanding of the products and work on their various aspects. Our in-house projects include aspects such as active learning, XAI, interpretable ML, AutoML, MLOps, as well as big data processing and compression. Alongside this, we cooperate with partners in custom commercial implementations What you need to know3+ years of machine learning work experienceDeep understanding of machine learning (both in theory and in practice)Experience in software development in line with the SOLID principlesAdvanced Python and its open-source machine learning libraries (torch, numpy, scikit-learn, scipy and other)Ability to develop tests in Python with common libraries like pytest or unittestEffectively communicating complex ideas to both technical and non-technical peopleBoth Polish and English on communicative level Nice to haveRelevant higher education (computer science, data science or other)Active machine learning experience or willingness to learn it quicklyExperience in projects with elements of ML-human interactionAbility to communicate concepts in data using visualizationsFamiliarity with GitLab CI/CD Pipelines What your tasks will beDevelopment and maintenance of ML librariesConducting business-driven research by experimenting with our solutions and performing the literature reviewSummarizing completed tasks in a suitable form (report or documentation)Code review and supporting colleagues in their daily workActive participation and contribution to team meetingsCollaboration with third-party partners on specific implementationsKeeping up with the latest advances in the field of human based labeling. What we offer:market-based salary adjusted to your skills;private medical care; multisport card; flexible working hours; partially remote internal trainings;mentors; 10% of work time for self-development; good coffee.The non-EU citizens please kindly note that to be accepted you need to have the residence and work permit in Poland already obtained.
Machine Learning Engineer (Mid) in Constanţa
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