Master’s or PhD degree in a relevant domain (math statistics, math modelling, computer science, etc.);
Deep expertise in Python development. Knowledge of basic data structures and algorithms;
Good knowledge in classical machine learning algorithms, deep learning, modern neural network approaches;
Knowledge of ML frameworks and libraries (more — better): Tensorflow, Keras, Pytorch, Caffe2, scikit-learn, numpy, matplotlib, OpenCV, word2vec.
Experience with (more — better):
LP, chatbots development, text content understanding.
Object detection and tracking. -Gesture recognition, scene understanding, movement/action prediction. Semantic segmentation and instance semantic segmentation;
Timeseries analysis: forecasting, clustering and classification;
Data preparation: raw data annotation and labeling, data augmentation and normalization.
Besides such basics as a competitive salary, comfortable and motivating work environment, here at Intellias we offer:
For your professional growth —
Innovative projects with advanced technologies;
Individual approach to professional and career growth (Personal Development Plan);
Regular educational events with leading industry experts;
For your comfort —
Flexible working hours;
Spacious office with lots of meeting rooms;
Kids’ room with professional baby-sitter (offices in Lviv & Kyiv).
For your health —
3 health packages to choose from — medical insurance, sports attendance or mix of both;
Annual vitaminization program;
Annual vaccination and ophthalmologist check-up.
For your leisure —
Corporate celebrations and fun activities;
Beauty parlor (offices in Lviv & Kyiv).
Join Intellias ML/AI Team, which is focused on advanced machine learning solutions for different areas: from self-driving cars to self-service shops.
You will work with different customers all over the world and will be involved in all stages of solution creation: from technical proposal to shipping of the final product. You will have the opportunity to work in different ML subdomains with respect to your interests, skills and experience.