● Data mining and forecasting
● Design and implement machine learning systems
● Research and implement appropriate ML algorithms and tools
● Develop machine learning applications according to requirements
● Work with Junior ML Engineers to select appropriate datasets and data representation
methods for new ML products
● Continuous improvement of existing ML products
● Keep abreast of developments in the field through paper review and re-implementation
to improve current ML systems.
Required Skills:
● Deep learning experience (CNNs, RNNs, GANs), particularly in loss functions and custom
data generators
● Machine Learning Edge and Edge Computing
● SparkML, pySpark, pyHive
● Fluent in python, keras, tensorflow, scikit-learn, scikit-image
● Fluent with flask