Lead Engineer, Manufacturing Data Analytics
On-siteParanaque City, Metro Manila, Philippines
Job Summary
Architect end-to-end data-driven solutions by developing automated workflows and building predictive machine learning models to enhance production efficiency. Integrate diverse automation tools, databases, cloud platforms, and AI pipelines into a cohesive, scalable architecture while ensuring rigorous compliance with cybersecurity and data-privacy standards. Lead strategic digital transformation projects from inception to production, executing data preparation, dashboard development, and managing the entire AI model lifecycle. Partner with cross-functional teams to perform User Acceptance Testing (UAT) and manage submissions for deployment approvals. Continuously identify opportunities for technological innovation and process optimization, while sustaining, troubleshooting, and fixing solutions as issues arise. Generate training materials and update documentation affected by new implementations.
Required Qualifications
- Bachelor's or Master's degree in Data Science/Analytics, Artificial Intelligence, Computer Science, Electrical/Electronics/Computer Engineering, or an equivalent technical field
- 3–5 years of hands-on experience in automation, data analytics, and AI specifically within a semiconductor manufacturing setup
- Proven ability to develop automated workflows and deploy AI systems into production
- Experience in integrating complex databases and cloud platforms into unified architectures
- Expertise in the AI model lifecycle, including data preparation and dashboarding
- A proactive approach to identifying innovation opportunities
- A collaborative spirit to lead cross-functional projects in a fast-paced environment
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