AI/ML Integration Technologist (Battery Mfg)

Ford•Glendale, KY
•$132,800 - $250,800•Hybrid

About The Position

Ford Energy, a wholly owned Ford Motor Company subsidiary, designs, manufactures, and services grid-scale and commercial DC battery energy storage systems. The AI/ML Integration Technologist drives continuous improvement in manufacturing yield, scrap, quality, and throughput by identifying production losses and applying AI and analytics to high-value opportunities. The role builds and deploys models using plant data, translates model results into process improvements, and shares reusable findings with a central technologist so multiple plants can benefit. The position works closely with operators, technicians, process engineers, controls, quality teams, and vendors. It also owns local data connections involving manufacturing execution systems, historians, PLC and other OT data, and inline metrology. The position is hybrid, with an onsite requirement of four or more days per week.

Requirements

  • Bachelor’s degree in Engineering; Mechanical, Industrial, or Electrical Engineering is preferred.
  • Coursework or hands-on experience in machine learning, data science, or analytics.
  • Strong plant-floor instincts.
  • Comfort with Python and plant data, including MES, historians such as PI or Ignition, and PLC data.
  • Process or manufacturing engineering experience.
  • Bias to action and the credibility to work closely with operators, technicians, and process engineers.

Nice To Haves

  • Experience in battery, semiconductor, coatings, or another high-volume process.
  • Mechanical, Industrial, or Electrical Engineering degree.

Responsibilities

  • Identify production losses in day-to-day line operations, including scrap, downtime, and quality escapes, and apply AI and analytics to high-value opportunities.
  • Build and deploy models using plant data for coating and formation quality, defect detection, and yield root-cause analysis, in collaboration with the central technologist and vendors.
  • Translate model outputs into actions such as parameter changes, error-proofing, and standard work with process, controls, and quality teams.
  • Share findings and reusable assets with the central technologist to benefit both plants.
  • Own local data connections involving MES, historians, PLC and OT data, and inline metrology.

Benefits

  • Competitive compensation package including performance-based bonuses.
  • Ford vehicle discounts and management leases.
  • Medical, dental, vision, and prescription drug coverage.
  • Flexible family care days, paid parental leave, new parent ramp-up programs, and subsidized backup child care.
  • Adoption and surrogacy expense reimbursement and fertility treatments.
  • Tuition assistance.
  • Employee resource groups.
  • Paid time off for individual and team community service.
  • Paid holidays, including the week between Christmas and New Year’s Day.
  • Paid time off and the option to purchase additional vacation time.
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