Data Science Engineer (offline)
At least 2 years of commercial experience in DS;
Knowledge and experience with algorithms and data structures;
Experience with Machine Learning libraries (NumPy, SciPy, Pandas, ScikitLearn ,etc);
Experience with at least one of Deep Learning frameworks (Tensorflow, Keras, PyTorch, etc);
Basic understanding of Big Data concepts;
Experience with SQL;
Strong knowledge of OOP;
Intermediate English.
Nice to have:
Docker practical experience;
Experience in Computer Vision (object detection, recognition, tracking, etc);
Knowledge of modern Neural Networks architectures (DNN, CNN, LSTM, etc).
We offer:
Exchange of experience, professional development;
A strong team, a healthy atmosphere;
Flexible working time;
20 days paid vacation;
Paid sick leave;
8-hour working day and 5-day working week;
English lessons and massage service in the office (partially paid by the company);
Opportunity to take part in conferences, meetups etc. (fully or partially paid by the company);
Regular company events.
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