Sr. Machine Learning Engineer

Aimlroles; Reynosa; On-site; MXN 750,000 - 950,000; Full time

Benefits offered by this job

Competitive benefits

Global exposure

Collaborative team

Job summary

Corning is seeking a Senior Machine Learning Engineer to design, deploy, monitor, and improve ML solutions across manufacturing and technology environments.

You will take prototypes to production, apply MLOps and DevOps practices, and guide teammates through architectural decisions and problem solving.

The role emphasizes strong Python skills, experience with ML frameworks, Docker/Kubernetes, and clear communication in English.

Qualifications

• Bachelor's or Master's degree in a related technical field.
• 3+ years of experience in machine learning engineering or related roles.
• Experience deploying ML models into production.
• Strong Python skills and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Familiarity with MLOps, DevOps, CI/CD, model monitoring and retraining.
• Knowledge of containerization/orchestration tools (Docker/Kubernetes).
• Excellent English communication of technical and business information.

Responsibilities

• Design, build, deploy, monitor, and maintain end-to-end ML pipelines.
• Translate prototypes into scalable, reliable production solutions for manufacturing and tech environments.
• Apply MLOps/DevOps practices for versioning, deployment, monitoring, and retraining.
• Provide technical guidance, contribute to architecture discussions, and coach team members.

Skills

Python

Machine Learning

CI/CD

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Technology

Tools

Docker

Kubernetes

Job description

Are you ready to lead the deployment of machine learning solutions that improve manufacturing quality, increase automation, and support the future of optical communications?

ROLE DESCRIPTION

What is your role?

As a Senior Machine Learning Engineer, you will design, deploy, monitor, and improve machine learning solutions that create measurable business value across manufacturing and technology environments. This role requires a strong technical contributor with experience taking machine learning solutions into production, applying MLOps practices, and helping guide others through technical problem-solving and execution.

Major responsibilities and tasks of the position:

• Design, build, deploy, monitor, and maintain end-to-end machine learning pipelines and production-ready solutions.
• Translate machine learning prototypes into scalable, reliable, and secure solutions for manufacturing and business environments.
• Apply MLOps and DevOps practices to support model versioning, deployment, monitoring, retraining, and troubleshooting.
• Provide technical guidance, contribute to architecture discussions, support code reviews, and help coach less experienced team members.

REQUIREMENTS

What do you need to have?

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Technology, or a related technical field.
• 3+ years of experience in machine learning engineering, data engineering, software engineering, data science, or similar technical roles.
• Proven experience deploying machine learning models or intelligent solutions into production environments.
• Strong hands-on experience with Python and machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
• Experience or solid understanding of MLOps, DevOps, CI/CD, model monitoring, model retraining, and production support concepts.
• Basic knowledge of containerization or orchestration tools such as Docker or Kubernetes.
• Advanced English skills, with ability to communicate technical and business information clearly

BENEFITS OF WORKING FOR CORNING

What we offer?

• Great benefits above law.
• Opportunity to contribute to high-impact machine learning solutions in advanced manufacturing.
• Global environment with exposure to optical communications, automation, data, and technology initiatives.
• Collaborative team that values technical excellence, innovation, learning, and continuous improvement.
• Opportunity to influence architecture, deployment practices, and the growth of machine learning capabilities.

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 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.