Position: Data Scientis
Company: Адьютор
Experience required: 1y
English level: intermediate

Data Scientist/Engineer strong junior or middle

Dresslab UA is a subsidiary of the German company Dresslab GmbH which provides advanced developments in the field of digitalization clothes and people, using the latest artificial intelligence approaches. Dresslab is a leading technology partner in the textile and fashion industry.The company's goal is to evolve in the fashion industry - from digitizing clothes in production to a client who uses his model in a virtual fitting room.We provide a user experience in which online shopping - Internet resources, and the user - offline, which takes the client to a new level of experience.We are currently working on the 3D Virtual Fitting Room, a digital version of the standard stand-alone fitting room. It allows customers to try on clothes, decide on the size, look at themselves, and it's all online. The platform helps you get a complete immersion for the best experience.
We are looking for a Data Scientist/Engineer  strong junior or middle
Full Time – outsourcing, relocation

Requirements:
* At least Bachelor degree in Computer Science or related field;
*At least 2 years of real-world experience in implementing data science and computer vision projects;
* Strong Python knowledge;
* Strong knowledge of classical algorithms and data structures;
* Strong knowledge in linear algebra, geometry, calculus, probability theory and statistics;
* Experience with Machine Learning libraries like NumPy, Pandas, ScikitLearn;
* Practical experience with OpenCV;
* Experience in solving computer vision tasks like classification, detection, segmentation or others;
* Practical experience with at least one Deep Learning framework like Keras, Tensorflow, PyTorch;
* Good knowledge and expirience with some of the well-known neural networks architectures such as: Yolo, U-Net, MobileNet, ResNet, R-CNN;
* Strong knowledge of OOP;
* Good written and spoken English;
Would be a plus:
* Active kaggle participation;
* Docker;
* Microsoft Azure or AWS;
* Familiarity with NLP and Time Series forecasting;
* Experience with OCR;
* Practical experience with SQL, NoSQL;
* Neural network model optimization methods;
Advantages for candidate:
*Work in a cool team + mentor support and task setting from Senior Data Scientist;
*The availability of specialized equipment for work (several): CPU: 12 cores (24 threads), RAM: 64 GB, GPU: 2x RTX 2070 and 2080 RAM 8 GB;
* Stable and competitive salary;
* Flexible working schedule;
* Convenient office in Vinnytsia;
* Monthly team activities;
* Medical insurance;
*Benefits - Gym, Swimming pool, Hobby circles, 
* Certification training;
* Learning English and German;
* Review of working conditions every 6 months in case of improving skills and gaining new skills;
* Participation in large-scale industry conferences.

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