Machine Learning Engineer

Corning Incorporated

Reynosa

Presencial

MXN 180.000 - 300.000

Jornada completa

14 días+

Recibe más respuestas de empleadores

Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Descripción de la vacante

Corning Incorporated is seeking a Machine Learning Engineer in Reynosa, Mexico to support the development, deployment, and monitoring of ML solutions aimed at improving manufacturing performance and reducing defects. The role requires hands-on Python experience and a willingness to work across ML, data science, data engineering, and IT teams.

You will assist with model training, data preparation, testing, and documentation while contributing to continuous improvement by adopting new tools and

Formación

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Technology, or a related technical field.
  • 0 to 2 years of experience in machine learning, data science, data engineering, software engineering, or related technical projects.
  • Hands-on experience with Python and ability to explain previous academic, personal, or professional projects.
  • Basic understanding of machine learning concepts, model training, data pipelines, and deployment processes.
  • Familiarity with Python libraries or frameworks such as scikit-learn, TensorFlow, PyTorch, pandas, or similar.
  • Proactive, detail-oriented, curious, and able to take initiative without waiting for step-by-step instructions.
  • Advanced English skills, with ability to communicate, read, and write in technical and business environments.

Responsabilidades

  • Support the design, development, deployment, monitoring, and maintenance of machine learning models and pipelines.
  • Work with machine learning, data science, data engineering, and IT teams to move models and solutions into usable environments.
  • Assist with data preparation, model training, testing, troubleshooting, and documentation.
  • Contribute to continuous improvement by learning new tools, identifying issues, and proposing technical solutions.

Conocimientos

Python
Machine learning
Data science
Data engineering
Model deployment
Model monitoring
English communication

Educación

Bachelor’s degree in Computer Science, Engineering, Data Science, IT or related field

Herramientas

scikit-learn
TensorFlow
PyTorch
pandas

Descripción del empleo

Would you like to build intelligent solutions that help transform manufacturing operations through automation, data, and machine learning?

Role Description

What is your role?

As a Machine Learning Engineer, you will support the development, deployment, and monitoring of machine learning solutions that help improve manufacturing performance, reduce defects, and enable smarter decision-making. This role is ideal for someone with strong technical curiosity, hands-on Python experience, and interest in applying machine learning in real business and manufacturing environments.

Major responsibilities and tasks of the position:

  • Support the design, development, deployment, monitoring, and maintenance of machine learning models and pipelines.
  • Work with machine learning, data science, data engineering, and IT teams to move models and solutions into usable environments.
  • Assist with data preparation, model training, testing, troubleshooting, and documentation.
  • Contribute to continuous improvement by learning new tools, identifying issues, and proposing technical solutions.
Requirements

What do you need to have?

Bachelor’s degree in Computer Science, Engineering, Data Science, Information Technology, or a related technical field.

  • 0 to 2 years of experience in machine learning, data science, data engineering, software engineering, or related technical projects.
  • Hands-on experience with Python and ability to explain previous academic, personal, or professional projects.
  • Basic understanding of machine learning concepts, model training, data pipelines, and deployment processes.
  • Familiarity with Python libraries or frameworks such as scikit-learn, TensorFlow, PyTorch, pandas, or similar.
  • Proactive, detail-oriented, curious, and able to take initiative without waiting for step-by-step instructions.
  • Advanced English skills, with ability to communicate, read, and write in technical and business environments.
Benefits Of Working For Corning

What we offer?

Great benefits above law.

  • Opportunity to be part of a global technology and materials science company.
  • Learning environment with exposure to manufacturing, data, automation, and machine learning projects.
  • Collaborative team focused on innovation, continuous improvement, and technical excellence.
  • Opportunity to contribute to intelligent systems that support the future of optical communications and advanced manufacturing.

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 materials science. For more than 170 years, Corning has applied its expertise in glass science, ceramics science, and optical physics to develop products that transform industries and improve people’s lives.

Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra y suelta tu archivo aquí
Similar jobs

Puestos de trabajo similares que vale la pena comparar

ML Engineer: Manufacturing AI & Automation
ML Engineer: Manufacturing AI & Automation

Corning Incorporated • Reynosa

Presencial
MXN 180.000 - 300.000
Sr. Machine Learning Engineer
Sr. Machine Learning Engineer

Corning Inc. • Reynosa

Presencial
MXN 600.000 - 900.000
Benefits above law
High-impact ML projects
Global exposure
+2
Sr. Machine Learning Engineer
Sr. Machine Learning Engineer

Corning Incorporated • Reynosa

Presencial
MXN 700.000 - 900.000
Collaborative team environment
Opportunities for professional growth
Exposure to global technology initiatives
Lead ML Engineer: Production ML & MLOps for Manufacturing
Lead ML Engineer: Production ML & MLOps for Manufacturing

Corning Incorporated • Reynosa

Presencial
MXN 700.000 - 900.000
Collaborative team environment
Opportunities for professional growth
Exposure to global technology initiatives
Machine Learning Engineer
Machine Learning Engineer

Corning Inc. • Reynosa

Híbrido
MXN 600.000 - 900.000
Competitive compensation
Professional growth opportunities
Global exposure
Machine Learning Engineer
Machine Learning Engineer

Corning Incorporated • Monterrey

Presencial
MXN 240.000 - 360.000
Competitive benefits
Global collaboration
Career development
+1
Machine Learning Engineer
Machine Learning Engineer

Corning Inc. • Monterrey

Híbrido
MXN 240.000 - 420.000
Sr. Machine Learning Engineer
Sr. Machine Learning Engineer

Corning Incorporated • Monterrey

Híbrido
MXN 600.000 - 900.000
Competitive benefits
High-impact projects
Global collaboration
+2
Data Engineer
Data Engineer

Corning Incorporated • Monterrey

Híbrido
MXN 700.000 - 1.000.000
Hybrid work arrangement
Sr. Data Engineer
Sr. Data Engineer

Corning Incorporated • Monterrey

Híbrido
MXN 600.000 - 900.000