AI-Powered Manufacturing Process Engineer

Actalent; United States; On-site; USD 89,544 - 103,320; Full time

Job summary

Actalent in Fayetteville, TN is seeking an AI Process Engineer to apply machine data, AI, and process analytics to optimize manufacturing across facilities. You will design data-driven solutions to improve uptime, throughput, quality, and overall efficiency, collaborating with operations, maintenance, engineering, and leadership to deliver measurable business value on the plant floor.

The role emphasizes building dashboards, alerts, and analytics frameworks, traveling between sites as needed,

Qualifications

• Bachelor’s degree in Computer Engineering, Manufacturing, Industrial Engineering, or a related field.
• 2+ years of experience in a manufacturing environment.
• Proven experience working in industrial or manufacturing environments.
• Familiarity with manufacturing systems, machine data, IoT technologies, and operational analytics.
• Demonstrated success leveraging AI, machine data, automation, or advanced analytics to improve manufacturing performance, reliability, quality, or operational efficiency.
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable operational improvements.
• Experience with SQL for querying and managing structured data from manufacturing systems and databases.
• Experience with Python for data analysis, scripting, and building analytics or AI-enabled solutions.
• Experience with Power BI or similar analytics and reporting tools to create dashboards and visualizations for stakeholders.

Responsibilities

• Lead and support AI-enabled manufacturing optimization initiatives across production facilities, focusing on improving uptime, throughput, quality, and operational efficiency.
• Support and advance machine analytics initiatives, including existing manufacturing intelligence projects such as Pocket Watch and related tools.
• Develop and maintain machine monitoring dashboards that provide real-time visibility into equipment performance and key production metrics.
• Create automated operational alerts that notify teams of anomalies, deviations, or performance issues to enable timely intervention.
• Analyze machine, downtime, scrap, and production data to identify process improvement opportunities and recommend corrective actions.
• Support predictive maintenance initiatives by analyzing machine data and identifying failure patterns to reduce unplanned downtime.
• Assist in improving Overall Equipment Effectiveness (OEE) by optimizing equipment availability, performance, and quality output.
• Contribute to increasing throughput, uptime, and quality performance through data-driven process improvements and AI-driven solutions.
• Develop automated troubleshooting tools and process guidance systems to support manufacturing operators in resolving issues quickly and consistently.
• Collaborate with operations and maintenance teams to optimize machine settings, maintenance scheduling, and overall production performance.
• Support IoT and manufacturing data collection initiatives across plant operations, ensuring reliable and consistent data capture from equipment and systems.
• Assist in developing operational key performance indicators (KPIs) and standardized manufacturing analytics frameworks to measure and track performance.
• Work across multiple manufacturing facilities, traveling as needed to support operational initiatives, project implementation, and stakeholder collaboration.

Skills

Analytical and problem-solving skills

Experience with AI / machine data

Cross-functional collaboration

Education

Bachelor’s degree in Computer Engineering, Manufacturing, Industrial Engineering, or related field

Tools

SQL

Python

Power BI

Job description

Actalent in Fayetteville, TN is seeking an AI Process Engineer to apply machine data, AI, and process analytics to optimize manufacturing across facilities. You will design data-driven solutions to improve uptime, throughput, quality, and overall efficiency, collaborating with operations, maintenance, engineering, and leadership to deliver measurable business value on the plant floor.

The role emphasizes building dashboards, alerts, and analytics frameworks, traveling between sites as needed,