15 часов назад
Packaging Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Packaging Engineer (AI/ML) (manufacturing automation, data science, and machine learning): Integrating assembly and test data pipelines, optimizing manufacturing processes, and developing factory automation applications with an accent on statistical analysis, SQL data access, and Industry 4.0 technologies. Focus on designing experiments, transferring new processes to high-volume manufacturing, and integrating factory systems and equipment through APIs and SECS/GEM.
Location: Batu Kawan, Malaysia; onsite at the Penang SDSM Office
Company
develops Flash memory and advanced memory technology products supported by large-scale manufacturing and global supply chain operations.
What you will do
- Integrate assembly and test data pipelines and transform process data for analysis.
- Develop new manufacturing processes for NPI and transfer them to high-volume manufacturing while maintaining quality.
- Analyze and optimize manufacturing processes to improve efficiency and product quality.
- Design experiments to troubleshoot process issues and validate improvements using Six Sigma and Lean methodologies.
- Develop and maintain factory automation applications using modern frontend tools.
- Integrate factory systems and manufacturing equipment through web services, APIs, and SECS/GEM communication protocols.
Requirements
- 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.
- At least 3 years of relevant experience in data science or engineering is required.
- Proficiency in statistical data analysis with JMP and statistical techniques such as regression and distribution analysis.
- Knowledge of machine learning techniques, including neural networks.
- Programming experience with Python or R and database experience with SQL for data mining and analysis.
- Strong analytical, problem-solving, communication, teamwork, organization, and multitasking skills.
Nice to have
- Data science experience combined with manufacturing or engineering knowledge.
- Experience or academic projects involving manufacturing automation, MES integration, or factory data systems.
- Exposure to Industry 4.0 technologies, real-time dashboards, or digital transformation in manufacturing.
Culture & Benefits
- Full-time exempt position.
- Inclusive workplace focused on diversity, belonging, respect, and contribution.
- Support is available for applicants with disabilities during the application and hiring process.
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