Sr. Machine Learning Engineer

Corning Incorporated; Reynosa; Sur place; MXN 700 000 - 900 000; Plein temps

Avantages offerts par ce poste

Collaborative team environment

Opportunities for professional growth

Exposure to global technology initiatives

Résumé du poste

Corning Incorporated is seeking a Senior Machine Learning Engineer to lead the deployment of impactful machine learning solutions that enhance manufacturing quality and increase automation.

In this role, you will design, deploy, and maintain machine learning pipelines, translating prototypes into production-ready solutions. Candidates should have significant experience in machine learning engineering, a degree in a relevant field, and proficiency with Python and MLOps practices.

Qualifications

• 3+ years of experience in machine learning engineering, data engineering, software engineering, or similar roles.
• Proven experience deploying machine learning models to production.
• Strong hands-on experience with machine learning frameworks.

Responsabilités

• Design, build, deploy, monitor, and maintain end-to-end machine learning pipelines.
• Translate prototypes into scalable, reliable, and secure solutions.
• Apply MLOps practices to support model deployment and retraining.

Connaissances

Machine Learning Engineering

Python

MLOps

DevOps

TensorFlow

PyTorch

Containerization

Data Science

Formation

Bachelor’s or Master’s degree in a relevant field

Outils

Docker

Kubernetes

Description du poste

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

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.

• 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

What we offer?

• 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].