Industrial AI Engineer

MINTH GROUP

. Support the deployment and ongoing operation of industrial AI and digital manufacturing solutions across manufacturing sites .

Posted 9/19/2026full-timeLewisburg • Tennessee • United StatesMid-LevelSenior💰 $68,000 - $95,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in industrial AI and digital manufacturing solutions, with a strong focus on system integration, troubleshooting, and operational support. Proficient in Python, SQL, and familiar with manufacturing systems such as MES and SAP.

Highest-signal resume keywords

Industrial AutomationMachine VisionPython ScriptingSQL Data InvestigationManufacturing Systems Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Industrial AutomationMachine VisionPython ScriptingSQL Data InvestigationAPI IntegrationTroubleshootingData Quality ChecksIntegration TestingDigital Twin TestingOperational Performance Monitoring

Soft Skills

Clear CommunicationProblem-SolvingCollaboration

Tools & Technologies

CognexKeyenceHALCONOpenCVNVIDIA OmniverseMESSAP S/4HANAEWMOPC UAMQTT

Industry Keywords

Manufacturing OperationsProduction Cycle TimesQuality InspectionTraceabilityMaterial FlowAutomotive ManufacturingInjection MoldingAssemblyFactory LaunchEdge Computing

Tech Stack

Tools & technologies

AssemblyCyber SecurityLinuxPythonSQL

About the role

Key responsibilities & impact

Support the deployment and ongoing operation of industrial AI and digital manufacturing solutions across manufacturing sites
Serve as the local technical contact for implementation partners, including the NVIDIA project team
Work with production, quality, logistics and engineering teams to turn business needs into practical system requirements
Define use cases, process constraints and measurable acceptance criteria
Coordinate local delivery with implementation partners and headquarters
Track technical dependencies, resolve site issues, and communicate progress, risks and decisions
Coordinate image and equipment data collection, labeling requirements and data quality checks
Work with engineering and automation teams on camera, lighting and equipment readiness
Define and test interfaces between AI solutions, manufacturing systems and equipment with SAP, MES and EWM application teams
Develop or troubleshoot integration scripts and data exchanges within the agreed scope
Prepare factory layout, cycle time and logistics inputs with industrial engineering teams
Support digital twin scenario testing and validate assumptions and results with process owners
Prepare and execute integration and user acceptance tests
Investigate failures, document results and support controlled deployment into production
Complete technical handover from implementation partners, including system documentation, support procedures, training and escalation paths
Provide local troubleshooting and coordinate specialist support
Monitor operational performance and recurring issues after launch
Coordinate model or configuration updates with solution owners and implementation partners
Work with Infrastructure & Operations on connectivity, access permissions, edge computing, monitoring and recovery arrangements
Follow plant safety, cybersecurity and change management procedures

Requirements

What you’ll need

Bachelor's degree in computer science, electrical engineering, automation, industrial engineering or a related discipline, or equivalent relevant practical experience
At least 3 years of relevant experience in manufacturing systems, industrial automation, machine vision or industrial systems integration
Hands-on participation in at least one industrial project from requirements and testing through deployment or operational support
Understanding of manufacturing operations, including production cycle times, quality inspection, traceability or material flow
Ability to read, modify and troubleshoot Python or comparable scripts
Ability to use SQL to investigate data
Experience working with APIs or other system interfaces
Ability to troubleshoot across applications, data flows and equipment interfaces, using logs and structured problem-solving methods
Working understanding of industrial AI or machine vision concepts and ability to evaluate solution performance against business requirements
Clear spoken and written English
Automotive manufacturing, injection molding, assembly or new factory launch experience preferred
Experience with machine vision tools or systems, such as Cognex, Keyence, HALCON or OpenCV, including image acquisition and lighting considerations preferred
Exposure to NVIDIA Omniverse or other factory simulation and digital twin platforms preferred
Familiarity with MES, SAP S/4HANA or EWM, and equipment connectivity through OPC UA, MQTT, PLCs or SCADA preferred
Experience with Linux, containers, edge computing or maintaining AI applications in production preferred
Must work onsite initially in Lewisburg, Tennessee
Travel to Gadsden, Alabama, and other company sites is required based on project needs
Occasional work outside normal business hours may be needed