Sr. Staff Developer, MES

Corning Inc.

Reynosa

On-site

MXN 900,000 - 1,300,000

Full time

4 days ago
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Job summary

Corning Inc. in Reynosa, Tamaulipas, is seeking an experienced software engineer to advance manufacturing systems with Python, ML and MES integrations. This role reports to the IT Site Manager and works closely with Engineering and Quality to turn data into practical plant improvements.

You will develop MES applications, integrate MES with ERP, and implement Python-based ML for process optimization and predictive analytics, while evaluating new technologies with the team.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering or related field.
  • At least 5 years of experience developing manufacturing systems.
  • Experience with data analysis, data modeling and statistics, plus ML tooling.

Responsibilities

  • Develop, maintain and enhance MES apps and ERP integrations; analyze data to improve production.
  • Develop Python-based ML solutions to support process optimization and predictive analytics.
  • Propose new technologies and collaborate to implement solutions and document changes.

Skills

Python
Machine learning
Data analysis
C#
SQL

Education

Bachelor's or Master’s degree in Computer Science or Engineering

Tools

Comet CAMSTAR
iFix
OSI PI
C#
SQL
Visual Basic

Job description

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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.
  • .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 accommodations@corning.com

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.

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