— At least 3 years of commercial experience in DS;
— Strong knowledge of linear algebra, calculus, statistics and probability theory;
— Knowledge and experience with algorithms and data structures;
— Experience with Machine Learning libraries (NumPy, SciPy, Pandas, ScikitLearn);
— Experience with at least one of Deep Learning frameworks (Tensorflow, Keras, PyTorch);
— Knowledge of modern Neural Networks architectures (DNN, CNN, LSTM, etc);
— Experience in classical Computer Vision algorithms;
— Experience in Natural Language Processing;
— Experience with SQL;
— Strong knowledge of OOP;
— At least Upper-Intermediate (written and spoken) level of English.
— Participation in Kaggle competitions;
— Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.);
— Docker practical experience;
— Basic understanding of Big Data concepts;
— Experience with Cloud Computing Platforms (AWS, GCloud, Azure).
— Exchange of experience, professional development;
— A strong team, a healthy atmosphere;
— Flexible working time;
— 20 days paid vacation;
— Paid sick leave;
— 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.
— Data Analysis and Preparation;
— Development of Deep Learning / Machine Learning / Computer Vision solutions;
— You will be working on full-cycle data science projects. Your tasks will include data preparation, developing ML models and deploying them to production. Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains.
Life with Quantum is more than just project delivery. See for yourself.
Quantum is a Data Analytics and Software Engineering company with an international presence and R&D center. We are looking for progressive solutions to real problems, leaving the comfort zone. This allows us to remain the leaders of the Big Data market.
About the position
We are opening a position for a Data Science Engineer to expand our team. You will be working on areas related to data analysis, medicine, and image processing. Also, you will be able to take ownership for innovative and socially significant projects.
You will be a part of the company and surrounded by experts who are ready to move forward professionally.