Data Engineering

● ​5 years of working experience as engineer including minimum 1.5+ years of professional experience in Data Science or Applied Machine Learning
● ​Proficiency with Python
● ​Hands-on experience with ​SQL
● ​Solid engineering and coding skills with the ability to write high-performance production quality code
● ​Good understanding of common families of machine learning models, feature engineering, feature selection and other practical machine learning issues, such as overfitting
● ​You can speak English at the Intermediate level (at least)

• Able to code in Scala.
• Understanding ELT design, implementation and maintenance.
• Able to communicate complex concepts clearly and accurately.
• Willingness to learn new technologies, tools and approaches to problem-solving.
• Responsible for own work and able to solve problems independently.

• 4+ years of experience as ML Engineer with data driven projects. Deep understanding and practical experience with Big Data Stack (Apache or Amazon).
• Deep knowledge of statistics, probability theory and ML.
• Practical experience with Python (NumPy, Pandas, Matplotlib, Networkx package, Scikit-Learn).
• Practical experience with DL modelling using relevant frameworks (TensorFlow,PyTorch, Keras).