You will design and maintain data pipelines for the advancement of speech technologies at Muxlisa AI. Your work will serve as the foundation for training Automatic Speech Recognition (ASR/STT), Text-to-Speech (TTS), and diarization models, providing them with clean and high-quality datasets.

Responsibilities:

• Capture & Upload: Organize the capture and upload of audio data from various sources (call centers, TTS recording studios, internal resources).

• Dataset Collection: Collect open datasets using Python, web crawling libraries, and custom parsers.

• Cleaning & Preprocessing: Perform audio cleaning and preprocessing (resampling, VAD — Voice Activity Detection, silence removal, segmentation).

• Data Preparation: Form verified "audio-text" pairs for training, validation, and test sets (train/dev/test).

• Storage Optimization: Optimize data structures and flows in MinIO/S3.

• Labeling Support: Manage labeling processes (data export/import, validation).

• ETL Processes: Create and support ETL processes specific to STT/TTS.

• Delivery: Prepare and deliver data for Machine Learning Engineers.

Requirements:

• Python: Strong proficiency in Python (pandas, numpy, librosa, soundfile, re, pydub).

• Linux/Big Data: Experience with Linux/bash environments and skills in processing large volumes of data.

• Audio Processing: Understanding of the basics of audio signal processing.

• Object Storage: Experience with object storage systems (S3/MinIO).

• Data Structuring: Deep understanding of data structuring principles: ability to segment, categorize, and label data, design clear schemas, and ensure format consistency.

• Formats: Knowledge of data format specifics for STT/TTS.

Nice to have:

• Familiarity with ETL orchestration tools (Airflow, Luigi).

• Experience working with datasets for speech diarization.

Conditions:

• Schedule: 5 days a week, from 09:00 to 18:00.

• Employment: Official employment in accordance with the Labor Code of the Republic of Uzbekistan, providing 28 calendar days of vacation.

• Dress Code: No strict dress code — we aim to break stereotypes about government-related organizations.

• Team: Work within a strong team of professionals ready to share knowledge and experience.

• Impact: Participation in large-scale and significant projects aimed at creating services to improve the population's quality of life and optimize business processes in the country's leading enterprises.

• Autonomy: Wide opportunities for independent decision-making and active influence on the company's development.