MLOps Audio

Description

We are a team creating solutions in the field of natural language processing and voice technologies. Our key product is a machine translation system: speech recognition, text translation, and real-time voice synthesis.

Responsibilities

• Machine translation of text and voice between languages: Russian, English, Chinese, Arabic, and others.

• Researching modern approaches to speech synthesis (TTS) and speech recognition (ASR).

• Implementing our own developments and integrating the results into the actual product.

Requirements

• Programming experience in Python and familiarity with key libraries for model deployment.

• Interest in MLOps and audio models: desire to work with Fish Speech, Whisper, Conformer, Zipformer, Qwen3-ASR, VITS, ONNX, and similar tech stack.

• Ability to analyze scientific papers and apply the acquired knowledge in practical projects.

• Communication skills and the ability to work effectively in a team.

Conditions

• Hybrid work format (location: Kutuzovskaya metro station)
• Annual salary review and yearly bonus
• Corporate gym and rest areas
• More than 400 educational programs from SberUniversity for professional and career development
• Extended voluntary health insurance, preferential family insurance, and a corporate pension program
• Flexible mortgage discount, equal to 1/3 of the Central Bank's key rate
• Free SberPrime+ subscription, discounts on products from partner companies.