Data Science & AI

● ​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)

— 5+ years of experience in statistical analysis and ML;
— Strong programming skills in Python (TensorFlow/PyTorch include);
— Google cloud platform or similar cloud infrastructure, data version control tool, and dynamic data repositories implementation;
— Supervised learning methods;
— Unsupervised learning methods;
— Experience with Image processing: segmentation, denoising, inpainting, super-resolution;
— Experience with time series: classification, switch point detection, forecast, anomaly detection;
— Experience in leading a team;
— Deep knowledge in building and deploying unusual solutions;
— Problem solving and analytical skills;
— Previous experience in project management;
— Skill of recognizing and managing stakeholders;
— Desire and ability to structure processes;
— Ability to communicate clearly and confidently;
— Advanced English (speaking and writing)

• 2+ years of practice in the Machine Learning / Deep Learning field.
• Hands-on experience with AI frameworks such as Tensorflow, PyTorch, etc.
• Excellent interpersonal skills, cross-group, and cross-culture collaboration.
• Proven ability to develop original ideas.
• At least Upper-Intermediate English level.
• Experience with OpenAI Gym.
• Deep understanding of RL techniques.

• 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).

• A degree in Computer Science or Mathematics, or similar field or equivalent experience.
• Experience with TensorFlow/Python3.
• Deep learning experience - CNNs, RNNs.
• Excellent communication skills and ability to explain data-driven insights clearly.
• Striving for simple solutions to complex problems.