technologies-expected :

responsibilities :

Maintaining already existing ML architecture and taking part in setting goals for the future development,
Designing, building and testing ML models, analyzing results and implementing improvements,
Building ML pipeline (feature extraction/engineering, training, inferring, calibration, data presentation and visualization),
Code maintenance, ensuring code quality,
Preparing ML module documentation,
Conducting code review process.

requirements-expected :

Proficiency in Python programming (5 years of experience),
Practical knowledge of building regression and classification models,
Good knowledge about neural networks, decision trees, forests etc.,
Being familiar with techniques like deep learning, transfer learning,
Proficiency in ml frameworks like scikit-learn, tensorflow,
Good understanding of architectures eg. autoencoder, gann etc.,
Skills in NLP, creating and using transformer models (Attention Is All You Need) will be an asset,
Good command of SQL,
Communication skills, effective self-planning, and proper prioritization of tasks,
Fluent Polish,
Level of English enabling to carry out tasks (B2).

offered :

The possibility to work on a unique product with international outreach.
One week per quarter we all work from the office.
General onboarding program and Fudo Buddy who will help you in your first steps.
Possibility to work with professionals with wide experience from which you can learn.
Flexible working hours.
Spacious and modern office with access to free drinks and snacks.
Your personal MacBook.
Benefits such as medical care (Medicover), sport card (Multisport Plus), group life insurance (Unum), cafeteria system (Worksmile).
Cooperation in the form of B2B contract.

benefits :

responsibilities :