5 production engineer jobs at 4 companies in Roma, TX

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Production Supervisor
Reynosa, Tamaulipas, Mexico
OnsiteFull Time
nVent
nVentNYSE: NVT: Manufactures electrical connection and protection products for industrial systems.
3+ YOEDegree in industrial engineering or related field,3+ years production experience (metal/mechanical preferred),experience with cutting, aluminum, painting and assembly,SQSC board experience,Microsoft Office/Excel proficiency,leadership and communication skills,willingness to work shifts.
Microsoft Office, Microsoft Excel
1mo
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NPI Engineer
Reynosa, Tamaulipas, Mexico
OnsiteFull Time
Corning
CorningNYSE: GLW: Develops and manufactures specialty glass, ceramics, and optical fiber.
1+ YOEBachelor's in engineering,1+ year manufacturing or product development experience,knowledge of fiber optic cabling,strong analytical and project management skills,fluent English and Spanish.
2mo
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Engineer II - General Project Engineering
Reynosa, Reynosa, Mexico
OnsiteFull Time
Convatec
ConvatecLondon Stock Exchange: CTEC: Develops and manufactures medical solutions for chronic condition management.
3+ YOEEngineer with 3-5 years in engineering, project transfers, validation and manufacturing processes; English required; experience in production transfers and Lean/SPC tools.
SPC, Lean Tools
1mo
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Sr. Production Supervisor - Plant C
Reynosa, Tamaulipas, Mexico
OnsiteFull Time
Vertiv
VertivNYSE: VRT: Provides critical power and cooling for data centers.
5+ YOEBachelor's degree or equivalent experience in Manufacturing/Electrical/Industrial Engineering; minimum 5 years manufacturing/engineering experience; bilingual English/Spanish preferred; MS Office and MRP/ERP knowledge; leadership, production, safety, and mechanical knowledge.
Microsoft Word, Microsoft Excel, MRP/ERP
1mo
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Sr. Machine Learning Engineer
Reynosa, Tamaulipas, Mexico
OnsiteFull Time
Corning
CorningNYSE: GLW: Develops and manufactures specialty glass, ceramics, and optical fiber.
3+ YOE3+ years ML/data/software engineering experience, production ML deployment experience, Python and ML framework proficiency, MLOps/DevOps and containerization knowledge, and advanced English.
Python, scikit-learn, TensorFlow, PyTorch, MLOps, DevOps, CI/CD, Docker, Kubernetes