Responsibilities:

• Lead the design, development, and optimization of ML pipelines for solutions based on STT, TTS, and LLMs.

• Fine-tune speech recognition and language models for low-resource languages and dialects.

• Collaborate with the Data Annotation team to ensure high-quality datasets for model training.

• Transform ML prototypes into scalable, production-ready pipelines.

• Optimize model performance to achieve maximum accuracy, low latency, and efficiency.

• Automate key stages of CI/CD pipelines for ML model deployment.

• Mentor junior ML engineers and guide the team in coding best practices, model management, and MLOps.

• Document processes, write technical specifications, and create user guides for ML models and pipelines.

• Ensure strict adherence to data privacy standards and model security protocols.

Requirements:

• 5+ years of experience in Machine Learning or as an MLE.

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

• Deep understanding of LLMs and experience fine-tuning models for low-resource languages.

• Proficiency in Python ML libraries (TensorFlow, PyTorch, HuggingFace, etc.).

• Experience integrating ML models into complex, data-driven ecosystems.

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

• Experience managing data annotation pipelines and Data QA.

• Strong leadership and communication skills.

Preferred Qualifications (Nice to have):

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

• Competency in the Apache Airflow ecosystem.

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

• Experience in Multilingual NLP and model tuning.

• Knowledge of dialect recognition technologies.

• Competency in Apache Spark.

• Deep expertise in LLM/Generative AI models.

Conditions & Benefits:

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

• Employment: Official employment in accordance with the Labor Code of Uzbekistan (includes 28 calendar days of paid leave).

• Culture: No strict dress code — we are breaking stereotypes about state organizations and fostering a modern work environment.

• Team: Work alongside a strong team of professionals eager to share knowledge.

• Impact: Lead innovative projects aimed at improving public services and optimizing business processes for the country's leading enterprises.

• Growth: Ample opportunities for autonomy, decision-making, and actively influencing the company's development.