Speech Processing Engineer (offline)

Responsibilities:
- Produce multi-threaded processing modules and signal processing algorithmics.
- Sustain progressive technologies in language processing;
- Develop and realize automatic speech recognition resolution;
- Create system architecture of ML solutions, including DNN;
- Identification and analyzing attributes, which contribute to defective speech and voice recognition performance;
- Modify existing state-of-the-art machine learning solutions with attention to DNN approaches.

Required Skills:
- C++ and Python excellent programming and software engineering skills;
- 5+ years of developing speech and language processing algorithms;
- Experience with DNN frameworks as PyTorch, or TensorFlow;
- Background in data augmentation techniques for speech processing
- Understanding of transfer learning in the speech domain
Problem solving and communication skills;
- English level is not less than intermediate to communicate with a client.


Additional Skills:
- Working experience with Kaldi would be a big plus
- Desire to work in a startup team;
- Preference for the use of scientific data to improve society and welfare.

About SciForce

SciForce ([ˏsaɪˊ fɔɹs], of the Force of Science) – a company where the integration of various branches of science builds up a powerful force to create robust software solutions. Working at the intersection of Computer Science with other technical, natural and humanitarian sciences let us go beyond traditional IT services and become both technical and scientific forces to our customers.

Company website:
https://sciforce.solutions/