Testing Engineering, Manufacturing (AI)

Job description

ESSENTIAL DUTIES

AND RESPONSIBILITIES：

• Contribute to factory operation data analysis and implementation of intelligent solutions, including quality control and energy consumption, to identify and resolve business issues.
• Use SQL, Python, and other tools for data extraction, cleaning, and analysis, and provide actionable insights via visualization tools such as Spotfire or Power BI.
• Independently research and apply advanced algorithmic models (e.g., time-series forecasting, anomaly detection), evaluate their business value, and drive implementation in manufacturing scenarios.
• Participate in AI application projects for manufacturing, including quality inspection, process optimization, and predictive maintenance, and support pilot rollouts.
• Collaborate with cross-functional teams to analyze business requirements and propose data-driven improvement solutions.
• Apply NLP and machine learning methods for intelligent classification, root cause analysis, and model optimization.
• Prepare technical documentation and project reports to support digital transformation and intelligent manufacturing strategies.

Qualifications

• Master’s degree or above in Data Science, Computer Science, Statistics, Industrial Engineering, Automation, Mechanical Engineering, or related fields.
• Proficiency in at least one data analysis language (Python or R) and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Strong skills in data processing and SQL.
• Understanding and ability to apply machine learning and AI concepts (e.g., supervised/unsupervised learning, deep learning).
• Strong analytical and problem-solving skills with logical thinking ability.
• Excellent communication skills and ability to work effectively in multidisciplinary and cross-cultural teams.
• Proactive, motivated, and willing to drive practical applications of data and algorithms in real industrial settings.