Senior Specialist, Manufacturing Engineering (AIML)

Job Title: Senior Specialist Manufacturing Engineering (AI/ML)

Job Code: 39725

Job Location:Camden Arkansas

Job Schedule: 4/10: Employees work 10 hours a day 4 days a week.

Job Description:

We are seeking an experiencedSenior Specialist Manufacturing Engineer with specialized expertise in artificial intelligence tool development training and implementation to join our digital transformation team. This senior-level position requires a professional who can bridge traditional manufacturing engineering excellence with cutting-edge AI capabilities particularly withinPalantir Foundryand advanced analytics platforms. The candidate will be responsible for developing deploying and training others on AI-driven solutions that optimize manufacturing processes enhance decision-making and drive measurable ROI across multiple programs and departments.

As a Level 4 Manufacturing Engineer you will develop and implement manufacturing engineering plans and projects of strategic importance define and transfer advanced AI/ML tools and strategies and serve as a subject matter expert in digital transformation initiatives. This role requires minimal oversight and demands the ability to influence organizational direction through innovative AI applications integrated with Statistical Process Control (SPC) MES ERP systems and advanced analytics platforms.

Essential Functions:

• Expert-level proficiency in developing and implementing advanced Statistical Process Control (SPC) methodologiesenhanced with AI-driven anomaly detection and predictive analytics across multiple programs and departments
• Develops deploys and trains others on artificial intelligence and machine learning toolsusing Palantir Foundry Python and advanced analytics platforms to solve complex manufacturing challenges predict process variations and optimize production efficiency
• Monitors and analyzes current manufacturing processesusing AI-enhanced PowerBI Dashboards PowerApps and advanced analytics to capture variations identify trends predict quality outcomes and proactively recommend improvements before issues occur
• Develops and coordinates implementation of new manufacturing strategiesfor specific products and processes that leverage AI capabilities digital twin technology and advanced data analytics with program engineers and cross-functional teams
• Capable of representing the organization as a senior technical expert and subject matter authority interacting with program teams executive leadership and external stakeholders on AI/digital transformation initiatives and advanced manufacturing technologies
• Manages large complex cross-functional project initiativesof strategic importance to the organization involving AI implementation digital transformation and advanced manufacturing technologies with minimal oversight or direction
• Provides expert guidance coaching and formal trainingto engineers and cross-functional teams across the Company on AI tool development Palantir Foundry advanced analytics methodologies and digital manufacturing best practices
• Integrates AI solutions with Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) platformsto create seamless data flow intelligent decision support systems and real-time process optimization across manufacturing operations
• Estimates and tracks manufacturing costsusing AI-driven cost modeling and predictive analytics determines time standards through data-driven analysis and makes strategic recommendations for tooling and process requirements of new or existing product lines

Qualifications:

• Bachelors Degree in Manufacturing Engineering Industrial Engineering Computer Science Data Science or related technical fieldANDa minimum of6 yearsof progressive manufacturing engineering experience with demonstrated AI/ML application ORGraduate Degree (Masters or PhD preferred in Engineering Data Science AI/ML or related field) with a minimum of4 yearsof related experience OR In lieu of a degree minimum of10 yearsof progressive manufacturing engineering experience with demonstrated expertise in AI/ML tool development and implementation.

Preferred Additional Skills:

• Experience in advanced statistical software and tools (e.g. PowerBI PowerApps Minitab JMP Induction Automation or similar).
• Experience withcloud-based AI platforms(Azure ML AWS SageMaker Google Cloud AI) and their integration with manufacturing systems.
• Knowledge and application of continuous improvement philosophy methodology and tools.
• Experience withIndustrial IoT platforms and data historians(Ignition SCADA OSIsoft PI or similar) for real-time data acquisition.
• Strong organizational and time management skills to successfully engage in multiple programs simultaneously over an extended period of time.
• Experience working with MS Office (Word Excel PowerPoint Project)
• Microsoft Power Tools Experience such as but not limited to PowerBI PowerApps Microsoft Lists Power Automate etc.
• Ability to read and interpret complex engineering drawings with proper application of geometric dimensioning and tolerancing (GD&T).
• Familiarity with Titan Enterprise systems and Palantir for Data extraction.
• Familiarity with Manufacturing Execution Systems MRP systems and PLM systems.

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