AI/ML Integration Technologist (Battery Mfg)

Ford Energy; Glendale (KY); Hybrid; USD 133,000 - 251,000; Full time

Job summary

Ford Energy, a Ford Motor Company subsidiary, seeks a data-driven engineer to drive yield, quality, and throughput improvements on the manufacturing floor across plants. You will build and deploy models on plant data, connect MES and PLC sources, and translate insights into actionable process changes with cross-functional teams.

Requirements include a Bachelor’s in Engineering and experience with Python and analytics on industrial data; emphasis on high-volume manufacturing and reliability.

Qualifications

• Bachelor’s degree in Mechanical, Industrial or Electrical Engineering with ML/analytics coursework or experience.
• Strong plant-floor instinct for identifying losses and optimization opportunities.
• Proficiency with Python and plant data systems (MES, historians such as PI or Ignition, PLC data).

Responsibilities

• Work the line day to day: identify losses (scrap, downtime, quality escapes) and apply AI/analytics to address them.
• Build and deploy models on plant data for coating and formation quality, defect detection, and yield root cause.
• Translate model output into action: adjust parameters, implement error-proofing, and establish standard work with process controls and quality.
• Share findings and reusable assets with the central technologist so both plants benefit.
• Own the local data connection: MES, historians, PLC and OT data, and inline metrology.

Skills

Python

ML/data analytics

Plant-floor intuition

Process optimization

Education

Bachelor’s degree in Mechanical/Industrial/Electrical Engineering

Tools

MES systems

PI Historian

Ignition

PLC data

Job description

Job DescriptionWe made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Job DescriptionWe made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making., Ford Energy is a newly formed, wholly-owned subsidiary of Ford Motor Company dedicated to accelerating U.S. energy independence. Leveraging Ford’s century of manufacturing excellence and world-class battery energy storage systems (BESS) technology, Ford Energy designs, manufactures, and services grid-scale and commercial DC battery energy storage systems (BESS). Ford Energy is uniquely positioned to capture the growing demand for reliable, US-built energy storage systems. We are not just building batteries; we are building the infrastructure for the next generation of the American grid. Why Ford Energy? At Ford Energy, you have the backing of an industrial manufacturing powerhouse with the agility of a dedicated energy startup offering industry leading technology. We offer a competitive compensation package including performance-based bonuses, Ford vehicle discounts, and the opportunity to shape the energy strategy of one of the world's most iconic brands. Learn more at https://fordenergy.com .

In this position...

Drive continuous improvement in yield, scrap, quality, and throughput, and find the next opportunities the central technologist can turn into standards.

Responsibilities

What you'll do...

• 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.

Qualifications

You'll have...

• Bachelors of Engineering (Mechanical, Industrial OR Electrical preferred), with coursework or hands-on work in ML, data science, or analytics.
• Strong plant-floor instinct.
• Comfortable with Python and plant data (MES, historians such as PI or Ignition, PLC data).
• Process or manufacturing engineering experience; battery, semiconductor, coatings, or another high-volume process is a plus.
• Bias to action, and the credibility to work shoulder to shoulder with operators, technicians, and process engineers.

This position is leadership level 6 and ranges from $132,800-$250,800.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

Visa sponsorship is not available for this position.

This position is hybrid with a requirement to be onsite four or more days per week.

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