AI/ML Plant Data Engineer — Battery Manufacturing

Lincoln Motor Company; Glendale (KY); Hybrid; USD 133,000 - 251,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Ford Energy is seeking a data analytics leader to drive yield, scrap, quality, and throughput on the manufacturing line. You will build models on plant data and apply AI to losses, partnering with the central technologist and vendors to turn insights into action.

Requirements include a Bachelor’s in Engineering with ML/data analytics exposure and strong Python with plant data experience. This is a hybrid role with onsite four or more days a week, salary range $132,800-$250,800.

Qualifications

• Bachelor's in Engineering with ML/data analytics coursework or hands-on experience.
• Strong plant-floor instinct.
• Proficient in Python and plant data systems.
• Experience in high-volume manufacturing processes preferred.

Responsibilities

• Work the line day to day: find the losses (scrap, downtime, quality escapes) and put AI and analytics against the ones that pay.
• Build and deploy models on plant data for coating and formation quality, defect detection, and yield root cause, with the central technologist and vendors.
• Turn model output into action: parameter changes, error-proofing, and standard work with process, controls, and quality.
• Feed findings and reusable assets back to the central technologist so both plants benefit.
• Own the local data connection: MES, historians, PLC and OT data, and inline metrology.

Skills

Plant-floor instinct

Python

Data analysis

Education

Bachelor's degree in Engineering (Mechanical/Industrial/Electrical)

Tools

PI Historian

Ignition

MES data systems

Job description

Ford Energy is seeking a data analytics leader to drive yield, scrap, quality, and throughput on the manufacturing line. You will build models on plant data and apply AI to losses, partnering with the central technologist and vendors to turn insights into action.

Requirements include a Bachelor’s in Engineering with ML/data analytics exposure and strong Python with plant data experience. This is a hybrid role with onsite four or more days a week, salary range $132,800-$250,800.