Knowledge of validated approaches for scale-ability, productionalizing models and implementing machine learning applied to expansive and diverse datasets.
Experienced user of machine learning and statistical-analysis libraries, such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, Matplotlib, etc.
Familiarity with state-of-the-art cloud technologies such as AWS, GCP, Kubernetes, container is a plus.
Area of expertise in forecasting and basics of data engineering.
An inquisitive mindset and strong analytical skills for complex problem solving, and an aptitude for learning systems quickly.