Senior ML Engineer: Production ML & MLOps Leader

Corning Inc.; Reynosa; Presencial; MXN 900 000 - 1 500 000; Tempo integral

Resumo da oferta

Corning Inc. in Reynosa, MX is seeking a Senior Machine Learning Engineer to build, deploy, and maintain scalable ML systems across manufacturing and supply chain functions.

You will work with data scientists and IT to operationalize models, automate data pipelines, and implement robust model serving, monitoring, and CI/CD workflows while ensuring security and compliance. Key tasks include designing end-to-end pipelines, applying MLOps practices, and leading code reviews to raise technical

Qualificações

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• 3-5 years of experience in machine learning engineering, data engineering, or software engineering.
• Hands-on proficiency with Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch; Databricks experience preferred.

Responsabilidades

• Design, develop, and maintain end-to-end machine learning pipelines, including data ingestion, preprocessing, model training, validation, deployment, monitoring, and retraining.
• Collaborate with data scientists to translate prototypes and experimental models into production-ready solutions.
• Implement and manage model serving infrastructure (APIs, batch jobs, real-time systems) that meet business requirements.
• Leverage MLOps tools and best practices for model versioning, orchestration, monitoring, and CI/CD automation.
• Troubleshoot and resolve issues related to data flows, model performance, deployment, and integration with enterprise systems.
• Ensure security, data privacy, and compliance within all deployed machine learning solutions.
• Maintain clear documentation of pipelines, systems, and troubleshooting processes.
• Lead code reviews and contribute to a culture of technical excellence and continuous improvement.

Conhecimentos

Python

TensorFlow

PyTorch

Scikit-learn

Databricks

Docker

Kubernetes

MLflow

Kubeflow

APIs

Formação académica

Bachelor’s or Master’s degree in CS/Engineering/Data Science

Ferramentas

Databricks

Docker

Kubernetes

MLflow

Kubeflow

Descrição da oferta de emprego

Corning Inc. in Reynosa, MX is seeking a Senior Machine Learning Engineer to build, deploy, and maintain scalable ML systems across manufacturing and supply chain functions.

You will work with data scientists and IT to operationalize models, automate data pipelines, and implement robust model serving, monitoring, and CI/CD workflows while ensuring security and compliance. Key tasks include designing end-to-end pipelines, applying MLOps practices, and leading code reviews to raise technical