- Experience as a Machine Learning Engineer or similar role;
- Understanding of data structures, data modeling;
- Knowledge of math (statistics and algorithms);
- Knowledge of ML frameworks (TensorFLow (at least Keras) / PyTorch);
- Knowledge of data-processing engines like ApacheSpark;
- Most common Python libraries: NumPy, Pandas, Jupyter Notebook, pip/pipx/Anaconda, Numba, etc.;
- MLOps: deployment and monitoring models on a production systems.
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