Всего найдено 13 вакансий
Ташкент
Bachelor's degree in computer science, IT, or equivalent experience. 3+ years hands-on experience with Microsoft Power Platform...
Design & Deploy → Lead the end-to-end development of Canvas and Model-driven Power Apps solutions, applying ALM best practices...
Ташкент
Обязательные квалификации: Сильный опыт в прикладной статистике со знанием: Опыт построения вероятностных прогнозов на дискретные временные интервалы (например, почасовые или...
Моделей подсчета событий: Пуассоновские модели, отрицательное биномиальное распределение, модели с нулевой инфляцией (Zero-Inflated). Моделирование избыточной дисперсии и вариативности для...
Ташкент
Оптимизация производительности моделей по точности, скорости и эффективности. Требования: 2+ года опыта работы в ML или MLE в продакшен...
Разработка, проектирование и оптимизация ML-пайплайнов для STT, TTS и LLM-решений. Дообучение моделей распознавания речи и языковых моделей для...
Ташкент
Computer Vision. Natural Language Processing. Machine Learning Engineering. Time Series. Recommendation Systems. English level B2 (Upper-Intermediate) or higher.
Gain a strong foundation in software engineering. Dive deep into statistics and data analysis. Learn regression, classification, and clustering techniques.
Андижан
Computer Vision. Natural Language Processing. Machine Learning Engineering. Time Series. Recommendation Systems. English level B2 (Upper-Intermediate) or higher.
Gain a strong foundation in software engineering. Dive deep into statistics and data analysis. Learn regression, classification, and clustering techniques.
Бухара
Computer Vision. Natural Language Processing. Machine Learning Engineering. Time Series. Recommendation Systems. English level B2 (Upper-Intermediate) or higher.
Gain a strong foundation in software engineering. Dive deep into statistics and data analysis. Learn regression, classification, and clustering techniques.
Карши
Computer Vision. Natural Language Processing. Machine Learning Engineering. Time Series. Recommendation Systems. English level B2 (Upper-Intermediate) or higher.
Gain a strong foundation in software engineering. Dive deep into statistics and data analysis. Learn regression, classification, and clustering techniques.
Коканд
Computer Vision. Natural Language Processing. Machine Learning Engineering. Time Series. Recommendation Systems. English level B2 (Upper-Intermediate) or higher.
Gain a strong foundation in software engineering. Dive deep into statistics and data analysis. Learn regression, classification, and clustering techniques.
Маргилан
Computer Vision. Natural Language Processing. Machine Learning Engineering. Time Series. Recommendation Systems. English level B2 (Upper-Intermediate) or higher.
Gain a strong foundation in software engineering. Dive deep into statistics and data analysis. Learn regression, classification, and clustering techniques.
Наманган
Computer Vision. Natural Language Processing. Machine Learning Engineering. Time Series. Recommendation Systems. English level B2 (Upper-Intermediate) or higher.
Gain a strong foundation in software engineering. Dive deep into statistics and data analysis. Learn regression, classification, and clustering techniques.
Самарканд
Computer Vision. Natural Language Processing. Machine Learning Engineering. Time Series. Recommendation Systems. English level B2 (Upper-Intermediate) or higher.
Gain a strong foundation in software engineering. Dive deep into statistics and data analysis. Learn regression, classification, and clustering techniques.
Фергана
Computer Vision. Natural Language Processing. Machine Learning Engineering. Time Series. Recommendation Systems. English level B2 (Upper-Intermediate) or higher.
Gain a strong foundation in software engineering. Dive deep into statistics and data analysis. Learn regression, classification, and clustering techniques.
Ургенч
Computer Vision. Natural Language Processing. Machine Learning Engineering. Time Series. Recommendation Systems. English level B2 (Upper-Intermediate) or higher.
Gain a strong foundation in software engineering. Dive deep into statistics and data analysis. Learn regression, classification, and clustering techniques.