Machine Learning Engineer
Corning Incorporated1 day 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
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