ML/AI Engineer

148 Remote

$3 500

  • ML/AI Engineer
Информация

Our company Research and Development Institute Ukraine (SRK) is one of the units of R&D infrastructure of company.
Our local directions cover R&D activities in such areas as computer vision, next enerations of human-computer interfaces based on 3D graphics and recognition technologies; applications for creating and consuming new types of multi-media content; device-2-device and device-2-cloud convergence; information security; artificial intelligence; natural language processing (NLP); human computer interaction (HCI); information retrieval; computational intelligence.
The main goal of the SRK is to provide next generation, adaptive, context-aware intelligent services for our company products and immersive serendipity across software and hardware eco- systems. We provide prototypes and new generation software development from scratch for embedded devices that gives a chance for Ukrainian engineers to work on technology of the future.

Этапы интервью
1) Technical and competency-based interview
2) Job Offer
Условия работы
● annual bonus;
● official employment;
● paid 28 days of annual vacations and sick leaves;
● paid days off on Ukrainian official holidays;
● paid maternity leaves;
● opportunity to become an inventor of international patents
with paid bonuses;
● medical & life insurance for employees and their
children;
● convenient office location (Business Center 101 Tower);
● paid lunches;
● discounts to our company products, gym, other services;
● English language courses;
● regular education and self-development on internal
courses and seminars, office library
Требуемые навыки / Checklist
● ML/AI-related knowledge:
● principles of probabilistic models construction for speech
recognition tasks (Gaussian Mixture Model, Markov
models);
● basics of neural networks application for speech
recognition tasks (convolutional networks, recurrent
networks);
● Digital signal processing:
● spectral transformations (Fourier, Wavelets, Cepstral and
mel-spectrogram analyses) applications, such as signal
detection, denoising and tracking;
● noise identification, tracking and filtering;
● signal equalization, compression;
● Experience with TensorFlow, PyTorch, librosa modules.
Обязанности
• ML/AI-related knowledge: o principles of probabilistic
models construction for speech recognition tasks
(Gaussian Mixture Model, Markov models) o basics of
neural networks application for speech recognition tasks
(convolutional networks, recurrent networks);
• Digital signal processing: o spectral transformations
(Fourier, Wavelets, Cepstral and mel-spectrogram analyses)
applications, such as signal detection, denoising and
tracking o noise identification, tracking and filtering o signal
equalization, compression;
• Experience with TensorFlow, PyTorch, librosa modules.






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