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ML - Engineer (Team Lead)

Full-time

6+

Main Office

06.08.2025

Условия работы

English:

Responsibilities:

  • Leading the design, development, and optimization of ML pipelines for STT, TTS, and LLM-based solutions;

  • Fine-tuning speech recognition and language models for low-resource languages and dialects;

  • Collaborating with the data annotation team to ensure high-quality training data;

  • Transforming ML models and prototypes into production-ready pipelines;

  • Optimizing model performance for accuracy, speed, and efficiency;

  • Automating key stages of CI/CD pipelines for ML model deployment;

  • Mentoring junior ML engineers and leading the team in best practices for coding, model management, and MLOps;

  • Documenting processes, writing specifications, and developing user manuals for ML models and pipelines;

  • Ensuring compliance with data privacy and model security standards.

Requirements:

  • Over 5 years of experience in machine learning or as an MLE;

  • Proven track record in STT, TTS, or NLP projects;

  • Deep knowledge of LLMs and fine-tuning for low-resource languages;

  • Strong command of ML libraries in Python (TensorFlow, PyTorch, HuggingFace, etc.);

  • Experience integrating ML models into complex, data-driven systems;

  • Familiarity with cloud providers (AWS, GCP, Azure) and MLOps platforms (AWS SageMaker, MLFlow, Kubeflow, etc.);

  • Experience managing data annotation pipelines and ensuring data quality;

  • Strong communication and leadership skills.

Nice to have:

  • Experience with ASR frameworks (Wav2vec, Kaldi, SpeechBrain, Whisper, etc.);

  • Competence in the Apache Airflow ecosystem;

  • Familiarity with TTS frameworks (VITS, XTTS, Coqui TTS, Tacotron, etc.);

  • Experience in multilingual NLP (fine-tuning multilingual models);

  • Knowledge of dialect recognition technologies;

  • Skills in the Apache Spark ecosystem;

  • Expertise in LLM/Generative AI models.

What we offer:

  • Work schedule: 5 days a week, from 09:00 to 18:00;

  • Employment in accordance with the Labor Code of Uzbekistan, 28 calendar days of vacation;

  • No strict dress code — we aim to break stereotypes about government organizations;

  • Work in a strong team of professionals ready to share knowledge and experience;

  • Participation in major and impactful projects aimed at improving public services and optimizing business processes in leading enterprises of the country;

  • Wide opportunities for independent decision-making and active contribution to company development.

We’re waiting for you to join our team and reach new heights together!

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