ML ENGINEER (Speech)

The role includes researching, (re-)designing, implementing, and evaluating new ML driven approaches for speech processing. Also, your responsibility will be to prototype new concepts and adapt existing algorithms and models to best fit real-life requirements

Qualifications

• 5 years+ of a proven experience in machine learning development, architecture design and training/testing methodologies including audio and speech applications, building machine learning pipelines
• Experience in classic audio processing, speech recognition (ASR, STT), voice activity detection (VAD), denoising, intent parsing, speech synthesis, and other
• Fundamentals of speech signal processing
• Excellent software architecture and programming skills in Python, C, C++, Matlab
• Experience with machine learning software platforms such as PyTorch, TensorFlow, etc
• Experience with Cloud technologies (Microsoft Azure, AWS)
• Strong problem-solving skills and the ability to work independently and as part of a team in a fast-paced environment
• Excellent communication and interpersonal skills, with the ability to effectively interact with clients, stakeholders, and team members

Desired skills

• PhD degree in the field of Computer Science, Artificial Intelligence, Machine learning, Computer vision, Electrical Engineering, Applied Math, Acoustics Engineering, or a related field
• English B2

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