Sr. Staff Developer, Mes

Corning; Reynosa; On-site; MXN 900,000 - 1,300,000; Full time

Job summary

Corning is seeking a Sr. Staff Developer, MES in Reynosa to apply Python, ML and manufacturing systems expertise to improve plant performance.

You will develop and enhance MES apps, integrate MES with ERP, and lead technical efforts alongside Engineering and Quality, reporting to the IT Site Manager. You will analyze data, design ML models, and implement solutions using MES platforms and common programming languages.

Qualifications

• 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 statistics.
• Machine learning experience with PyTorch or TensorFlow; MES platforms such as Comet/CAMSTAR, iFix or OSI PI; knowledge of C#, SQL and Visual Basic.
• Conversational English and strong communication skills.

Responsibilities

• 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.

Skills

Python programming

Machine learning

Data analysis

Data modeling

Statistical analysis

English communication

PyTorch

TensorFlow

Education

Bachelor’s or Master’s degree in Computer Science, Engineering or a related field

Tools

C#

SQL

Visual Basic

Job description

Sr. Staff Developer, MES

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 and initiative to introduce new technologies.Work schedule and location:Reynosa, Tamaulipas, RCP plant, supporting both East and West buildings.100% onsite.Monday through Friday, 7:30 a.m. to 5:00 p.m.No regular travel or weekend work is expected.What we offer?Benefits above statutory requirements.The opportunity to propose and introduce new technologies.Technical leadership responsibilities and collaboration with Engineering and Quality.Direct involvement in manufacturing performance improvements and digital transformation.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at [e-mail]

MORE ABOUT US

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible. At Corning, you can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and support the delivery of lifesaving medicines. Come break through with us.