Responsibilities:
- Identifying business problems that can be solved with machine learning
- Analyzing and visualizing data in different phases of the machine learning lifecycle
- Creating and deploying various machine learning models
- Coordinating with development engineers
- Continuous improvement, monitoring, and testing of solutions in an agile environment
Minimum qualifications:
- 3+ years of experience working in similar or same positions
- Bachelor's degree – FER, PMF, FOI, etc.
- Advanced knowledge of statistical methods in data processing as well as tools used
- Advanced knowledge of Python programming language
- Advanced knowledge of PyTorch, TensorFlow, LiteRT, Keras, Pandas, Seaborn, Statsmodels, NumPy, SciPy
- Advanced knowledge of neural network architecture and all derivatives (CNN, RNN, LSTM, VAE, Transformers)
- Knowledge of natural language processing (NLP), computer vision
- Knowledge of time series analysis and forecasting using standard Box-Jenkins methodology (ARMA, ARIMA)
Bonus qualifications:
- Knowledge of working with Cloud services such as AWS, Google Cloud Platform, Microsoft Azure
- Experience with Docker, Kubeflow, MLFlow, or other MLOps systems
- Knowledge of FastAPI, Django
What We Offer:
- An individual approach to professional and personal development through a customized development plan
- Internal and external education
- Work in a stable company that develops its own innovative solutions
- Possibility of bonuses and reward salary
- Additional health insurance with included systematic examination
- Allowances for Easter, Christmas, and vacation bonus
- Gift for children
- 100% paid sick leave
- Multisport card
- Team budget for social activities
- Quality equipment, comfortable and spacious office
The application due date is 20 January 2026.
