Automate machine learning processes
Design and build machine learning models for accuracy and scalability
Integrate machine learning algorithms with other applications and services

Чем Вы должны обладать

Обязательно

Recommended background: 5+ years of combined Python engineering and machine learning experience
Experience writing maintainable, testable, production-grade Python code
Understanding of different machine learning algorithm families and their tradeoffs (linear, tree-based, kernel-based, neural networks, unsupervised algorithms, etc.)
Good command of scientific Python toolkit (numpy, scipy, pandas, scikit-learn)
Understanding of time, RAM, and I/O scalability aspects of data science applications (e.g. CPU and GPU acceleration, operations on sparse arrays, model serialization and caching)
Software design and peer code review skills
Experience with automated testing and test-driven development in Python
Experience with Git + GitHub
Comfortable with Linux-based operating systems

Желательно

Experience with large-scale machine learning (100GB+ datasets)
Experience with deep learning libraries and frameworks (TensorFlow, Keras, PyTorch etc.)
Competitive machine learning experience (e.g. Kaggle)
Previous experience of deploying and maintaining machine learning models in production

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