AI/ML Analytics Engineer — Manufacturing Insights

DataJobs; Town of Malta (NY); On-site; USD 58,000 - 101,000; Full time

Job summary

GLOBALFOUNDRIES is expanding its Analytics Center of Excellence with an early-career AI/ML Analytics Engineer in Malta, NY. This onsite role focuses on turning manufacturing data into actionable insights, ranging from predictive modeling to agentic solutions, by partnering with Digital Manufacturing and cross-functional teams.

The position emphasizes building and evaluating analytics workflows, collaborating with Fab leadership, and delivering measurable value through data-driven decisions.

Qualifications

• Must have a Bachelor's or Master's in Data Science, Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Computer Engineering, or related field.
• GPA of 3.0 or higher and proven good academic standing.
• Proficient in English (written & verbal).

Responsibilities

• Define project objectives, deliverables, success measures, and timelines in partnership with the Analytics Center of Excellence Digital Manufacturing Manager.
• Support design, development, testing, and documentation of analytics methods, processes, and systems across multiple use cases.
• Translate business needs from manufacturing and cross-functional teams into measurable data-driven approaches.
• Build predictive models, algorithms, and agentic solutions for real-world manufacturing problems.
• Communicate findings and recommendations to technical stakeholders and Fab leadership with clear value metrics.

Job description

GLOBALFOUNDRIES is expanding its Analytics Center of Excellence with an early-career AI/ML Analytics Engineer in Malta, NY. This onsite role focuses on turning manufacturing data into actionable insights, ranging from predictive modeling to agentic solutions, by partnering with Digital Manufacturing and cross-functional teams.

The position emphasizes building and evaluating analytics workflows, collaborating with Fab leadership, and delivering measurable value through data-driven decisions.