Are you ready to apply Python, machine learning and manufacturing systems expertise to improve plant performance? Join Corning and help introduce new technologies that turn manufacturing data into practical solutions.What is your role?You will develop and enhance manufacturing systems, apply artificial intelligence and data analytics, and integrate Manufacturing Execution Systems (MES) with ERP systems. This individual contributor role provides technical leadership and works closely with Engineering and Quality, reporting to the IT Site Manager.
Major responsibilities and tasks of the position:
• Develop, maintain and enhance MES applications and integrations with ERP systems.Analyze manufacturing data to identify bottlenecks and opportunities to improve production performance
• .Develop and implement Python-based machine learning solutions to support process optimization and predictive analytics
• .Propose new technologies and collaborate with Engineering and Quality to implement solutions, document changes and support plant users.
What do you need to have?
• Bachelor’s or Master’s degree in Computer Science, Engineering or a related field.
• At least 5 years of experience developing manufacturing systems.
• Strong Python programming skills
• .Experience in data analysis, data modeling and statistical analysis.
• Machine learning experience, including familiarity with PyTorch or TensorFlow.Experience with MES platforms such as Comet/CAMSTAR, iFix, OSI PI or similar systems, along with knowledge of C#, SQL and Visual Basic.
• Conversational English and strong communication skills to collaborate with technical teams and leadership.
What would be a plus?
What would be a plus?
• Experience deploying machine learning models in production.
• Knowledge of MES–ERP integration, REST APIs, OPC and real-time industrial data acquisition.
• Familiarity with ISA-95, GxP and cloud analytics platforms.
• Technical leadership experience an
📌 Sr. Staff Developer, MES (Reynosa)
🏢 Corning
📍 Reynosa
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