Lead AI & Automation Engineer - Manufacturing Analytics

Allegro; Parañaque; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

Allegro Microsystems invites a data science leader to propel digital transformation in semiconductor manufacturing in the Philippines. You will design intelligent, self-optimizing systems and deploy AI across the production landscape to boost efficiency and reliability.

You will collaborate with global teams, manage AI model lifecycles, develop dashboards, and ensure cyber/data privacy standards while creating training materials for sustained innovation.

Qualifications

• Bachelor’s or Master’s degree in Data Science/Analytics, AI, Computer Science, Electrical/Electronics/Computer Engineering or equivalent.
• 3–5 years of hands-on automation, data analytics, and AI in semiconductor manufacturing.
• Experience developing automated workflows and deploying AI systems into production.
• Experience integrating complex databases and cloud platforms into unified architectures.
• Expertise in the AI model lifecycle, including data preparation and dashboarding.

Responsibilities

• Design end-to-end data-driven solutions and predictive ML models to enhance production efficiency.
• Architect AI pipelines, integrating databases, cloud platforms and tools with a secure architecture.
• Lead digital transformation projects from inception to production, including data prep and dashboarding.
• Collaborate with cross-functional teams and Project Managers to ensure timely delivery; conduct UAT and deployment approvals.
• Identify opportunities for innovation and optimize processes; maintain training materials and documentation.

Skills

Data Science

AI Deployment

Data Analytics

Cloud Platforms

Machine Learning

Dashboarding

Education

Bachelor or Master in CS/EE/Statistics

Tools

SQL

Python

TensorFlow

Cloud

BigQuery

Job description

Allegro Microsystems invites a data science leader to propel digital transformation in semiconductor manufacturing in the Philippines. You will design intelligent, self-optimizing systems and deploy AI across the production landscape to boost efficiency and reliability.

You will collaborate with global teams, manage AI model lifecycles, develop dashboards, and ensure cyber/data privacy standards while creating training materials for sustained innovation.