Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Company hidden предлагает практическую работу с ИИ и машинным обучением в крупном производстве, но зарплата не указана, а уровень позиции и условия оплаты остаются неясными.
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Зарплата не указанаСовременный стекИИ в крупном масштабеПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Testing Engineering, Manufacturing (AI) (AI/manufacturing): Analyzing factory operations data and developing intelligent manufacturing solutions with an accent on quality control, energy consumption, predictive maintenance, and process optimization. Focus on building forecasting and anomaly-detection models, applying NLP and machine learning for root-cause analysis, and deploying data-driven improvements in industrial settings.
Location: Shenzhen Futian 1 Office, Shenzhen, Guangdong Province, China
Company
hirify.global builds large-scale data storage infrastructure for hyperscale data centers, cloud platforms, and enterprise systems supporting the AI-driven data economy.
What you will do
Analyze factory operations data related to quality control, energy consumption, and other manufacturing issues.
Extract, clean, and analyze data using SQL, Python, and related tools, then communicate insights through Spotfire or Power BI.
Research, evaluate, and implement advanced models such as time-series forecasting and anomaly detection.
Support AI applications for quality inspection, process optimization, and predictive maintenance, including pilot rollouts.
Collaborate with multidisciplinary teams to define business requirements and develop data-driven improvements.
Apply NLP and machine learning to intelligent classification, root-cause analysis, and model optimization; prepare technical documentation and project reports.
Requirements
Master’s degree or higher in Data Science, Computer Science, Statistics, Industrial Engineering, Automation, Mechanical Engineering, or a related field.
Proficiency in Python or R and familiarity with Pandas, NumPy, Scikit-learn, or similar data science libraries.
Strong data-processing and SQL skills.
Understanding of supervised and unsupervised learning, deep learning, and other AI concepts.
Strong analytical, problem-solving, communication, and cross-cultural collaboration skills.
Willingness to apply data and algorithms in real industrial manufacturing environments.
Culture & Benefits
Full-time employment in a global manufacturing and technology organization.
Work on practical AI and digital-transformation initiatives at industrial scale.
Inclusive environment focused on diversity, belonging, respect, and contribution.
Equal-opportunity workplace with accommodation support available during the application and hiring process.
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