Corning Incorporated

Machine Learning Engineer

Corning Incorporated
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2 months ago
Monterrey, MexicoEntry Level

Responsibilities

  • Develop and maintain end-to-end machine learning pipelines for data ingestion, preprocessing, training, validation, deployment, monitoring, and retraining.
  • Collaborate with data scientists and engineers to translate prototypes and experimental models into production-ready solutions.
  • Support model serving through APIs, batch jobs, and real-time systems while applying MLOps practices for versioning, orchestration, monitoring, and CI/CD.
  • Troubleshoot data, model, deployment, and integration issues; maintain technical documentation and participate in code reviews.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, Software Engineering, Data Engineering, or a related technical field.
  • 0–2 years of experience in machine learning, data science, data engineering, software engineering, or relevant academic, internship, personal, or professional projects.
  • Strong Python skills and hands-on experience with at least one machine learning library or framework such as scikit-learn, TensorFlow, or PyTorch.
  • Understanding of the machine learning lifecycle and ability to explain projects, personal contributions, tools, and outcomes clearly.
  • Basic familiarity with data pipelines, databases, APIs, software development practices, or workflow automation.
  • Advanced written and verbal technical and business English.
  • Ability to work onsite in Monterrey at least two days per week and support plant-based projects as needed.
  • Preferred exposure to Databricks, MLflow, Kubeflow, Docker, Kubernetes, CI/CD, or other MLOps/DevOps tools; manufacturing or production data; and a GitHub portfolio or comparable technical work examples.

Benefits

  • Benefits above the requirements of Mexican law.
  • Opportunity to work on high-impact machine learning initiatives supporting manufacturing and business transformation.
  • Collaborative global environment with exposure to Data Science, IT, analytics, and manufacturing teams.
  • Learning and career development in a growing technical organization.
  • Monterrey-based hybrid work with onsite presence required at least two days per week and potential plant-based project support.

Tech Stack

DatabricksDockerKubernetesMLflowPythonPyTorchscikit-learnTensorFlow

Categories

Corning Incorporated

About Corning Incorporated

10,000+ employees

Corning Incorporated designs and manufactures specialty glass, ceramics, and optical materials for consumer electronics, communications networks, automotive emissions control, advanced displays, and life-science research. Core lines include Gorilla Glass and other specialty materials, display glass substrates, optical fiber and connectivity, emissions-control substrates, and laboratory vessels sold to device makers, network builders, automakers, and researchers. Founded in 1851 and headquartered in Corning, New York, it is a public company traded on the NYSE (ticker: GLW).

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