4 дня назад
Senior Machine Learning Engineer (AI)
750 000 - 1 500 000KZT
Вакансия из Telegram канала - Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Machine Learning Engineer (AI): Developing and deploying production ML/DL models for an AI platform analyzing athlete biomechanics with an accent on multimodal sensor data, model evaluation, and production pipelines. Focus on building inference, monitoring, versioning, and retraining systems, improving model accuracy and latency, and integrating proprietary sensors.
Senior Machine Learning Engineer
MiraiTech
750,000 to 1,500,000 KZT NET per month
Astana / Office
MiraiTech is a SportTech startup developing an AI platform for biomechanical athlete analysis with proprietary sensors, scaling from R&D to production.
Responsibilities:
• Develop, validate, and deploy ML/DL models in production
• Work with time-series and multimodal sensor data
• Build data-processing, inference, monitoring, versioning, and retraining pipelines
• Improve model accuracy, robustness, latency, and efficiency
• Collaborate on experiments, data collection, and sensor integration
Requirements:
• 3+ years of commercial Machine Learning experience
• Strong Python and Deep Learning skills
• Experience with time series, PyTorch/TensorFlow, and ML evaluation
• Production ML deployment experience
• Experience with APIs and data pipelines
• Familiarity with Docker, databases, cloud, and GPU workloads
• Ability to drive ML tasks from experimentation to production
MiraiTech
750,000 to 1,500,000 KZT NET per month
Astana / Office
MiraiTech is a SportTech startup developing an AI platform for biomechanical athlete analysis with proprietary sensors, scaling from R&D to production.
Responsibilities:
• Develop, validate, and deploy ML/DL models in production
• Work with time-series and multimodal sensor data
• Build data-processing, inference, monitoring, versioning, and retraining pipelines
• Improve model accuracy, robustness, latency, and efficiency
• Collaborate on experiments, data collection, and sensor integration
Requirements:
• 3+ years of commercial Machine Learning experience
• Strong Python and Deep Learning skills
• Experience with time series, PyTorch/TensorFlow, and ML evaluation
• Production ML deployment experience
• Experience with APIs and data pipelines
• Familiarity with Docker, databases, cloud, and GPU workloads
• Ability to drive ML tasks from experimentation to production
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
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