全职 Packaging Engineer (AI-ML) 工作, 薪水, Sandisk WP Kuala Lumpur 公司招聘中 - Ricebowl

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Integrate assembly/test data pipeline, analyze and transform process data.
• Develop new process for NPI, transfer to HVM without major quality issues. 
• Analyze and optimize existing manufacturing processes to enhance efficiency and product quality.
• Develop and implement process improvement initiatives using methodologies such as Six Sigma and Lean.
• Design and conduct experiments to troubleshoot process issues and validate improvements.
• Develop and maintain factory automation applications with modern frontend tools.
• Develop and optimize Oracle SQL and Microsoft SQL Server queries for data access and reporting.
• Integrate factory systems and manufacturing equipment via web services, API calls, or SECS/GEM communication protocols.
• Collaborate closely with process, equipment, factory automation and IT teams to deliver robust and efficient automation, machine learning and AI solutions.

REQUIRED:

• Bachelor’s or Master’s degree in Mechatronic Engineering, Computer Engineering, Computer Science, Software Engineering, Electrical Engineering, Data Science, Artificial Intelligence, Machine Learning or a related technical field. Min 3 years relevant working experience, as data scientist or engineering field. 

PREFERRED:

• Data Scientist with manufacturing/engineering knowledge.

SKILLS:

• Proficiency in statistical data analysis using JMP software.
• Knowledge of statistical techniques in data science (regression, properties of distribution).
• Knowledge in machine learning techniques (neural network, machine learning).
• Knowledge in programming language (python, R) and database (SQL) to perform data mining and analysis.
• Strong analytic skills and problem-solving skills.
• Experience or academic projects related to manufacturing automation, MES integration, or factory data systems.
• Exposure to Industry 4.0 technologies, real-time dashboards, or digital transformation initiatives in manufacturing.
• Passionate about technology and continuous improvement in a factory environment.
• Strong communication and teamwork skills.
• Self-motivated, organized, and able to manage multiple tasks in a dynamic environment.