AI & Data Engineer - Manufacturing Quality
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Job Description
Ingenics Corporation is hiring an AI & Data Engineer for Manufacturing Quality to turn manufacturing and quality data into actionable insights through analytics and AI workflows.
Responsibilities
- Analyze large manufacturing and quality datasets to surface defect trends, correlations, anomalies, and root causes
- Build interactive dashboards, automated reports, and analytics solutions using Python, SQL, Power BI, and Microsoft Fabric
- Design, develop, and deploy AI agents to analyze quality data, answer technical questions, generate reports, and support engineering decisions
- Integrate AI capabilities with manufacturing databases, quality management systems, and other enterprise data sources
- Automate quality monitoring, defect analysis, root-cause investigations, and early-warning detection
- Use machine learning, statistical methods, and predictive analytics to find patterns and continuous improvement opportunities
- Partner with Quality, Production, Engineering, and IT teams to convert business problems into practical AI and data solutions
- Validate AI outputs to ensure accuracy, reliability, and traceability
- Create reusable AI agents and analytics tools that can be scaled across manufacturing operations
Requirements
- Experience in data engineering, data analytics, AI development, or a related technical field, ideally in a manufacturing environment
- Strong Python and SQL skills; experience with Power BI and/or Microsoft Fabric
- Hands-on background building AI agents, automated workflows, or AI-powered applications
- Familiarity with large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and API integrations
- Experience with Microsoft Copilot Studio, Azure AI, or similar platforms is a plus
- Knowledge of machine learning, statistical analysis, anomaly detection, and data visualization
- Understanding of manufacturing processes, quality management systems, and continuous improvement approaches
- Familiarity with quality methods such as Root Cause Analysis (RCA), Pareto analysis, Statistical Process Control (SPC), and quality KPIs
- Strong analytical and problem-solving skills to turn complex data into meaningful engineering and business insights
- Excellent communication and collaboration skills across technical and operational teams
Tools & Technologies
- Python, SQL
- Power BI, Microsoft Fabric
- Large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG)
- API integrations
- Microsoft Copilot Studio, Azure AI
- Machine learning, statistical analysis, anomaly detection, data visualization
Benefits
- Competitive compensation
- Annual bonus opportunities
- 3-2-1 Commission Won employee referral incentive
- Regular salary review periods
- 401(k) with company match
- Employer contributions toward healthcare
- Financial education resources
- Paid time off and company holidays
- Comp Time Program
- Flexible and remote work options (role dependent)
- Employee Assistance Program (EAP)
- Medical, dental, vision, life, and disability insurance
- Team events and employee celebrations
- Community involvement and volunteer opportunities
- Work with Fortune 500 clients
- Diverse and challenging project opportunities
- Regular performance and development conversations
- Mentorship and coaching opportunities
- International collaboration across the Ingenics Group
- Skills competency and professional development programs
- Knowledge sharing with global experts
- Global mobility opportunities
What We Offer
- Projects in areas including:
- Digital Transformation
- Factory Design & Simulation
- Intralogistics
- Manufacturing Excellence
- Operational Excellence
- Production Technology & Automation
- Project Management
- Quality & Supplier Management
- Supply Chain Management
Location: Vance, AL (onsite)