Are you ready to lead the technical delivery of production‑grade machine learning solutions that can transform manufacturing performance?

What is your role?
As a Senior Machine Learning Engineer, you will design, deploy, maintain, and improve robust machine learning systems that support manufacturing and other business functions. You will help translate data science prototypes into secure, scalable, and production‑ready solutions while influencing architecture, MLOps practices, and technical standards. This is an individual contributor role based in Monterrey with regular onsite presence and hybrid flexibility.

Major responsibilities and tasks of the position:
- Design, build, and maintain end‑to‑end machine learning pipelines covering data ingestion, preprocessing, training, validation, deployment, model serving, monitoring, troubleshooting, and retraining.
- Lead the translation of prototypes into scalable production solutions and contribute to architecture and technology decisions for APIs, batch processing, and real‑time systems.




- Implement MLOps and DevOps practices for model versioning, orchestration, CI/CD, containerization, security, data privacy, and production reliability.
- Guide junior contributors, lead code reviews and technical documentation, and partner with data scientists, IT, analytics, and manufacturing stakeholders to resolve complex production issues.

What do you need to have?
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Software Engineering, Data Engineering, or a related technical field. At least 3 years of relevant experience in machine learning engineering, data engineering, software engineering, or a related technical role; 3‑5 years is preferred.
- Proven hands‑on experience deploying and supporting machine learning models or systems in production environments.
- Strong Python proficiency and experience with machine learning frameworks or libraries such as scikit‑learn, TensorFlow, or PyTorch.
- Hand

📌 Sr. Machine Learning Engineer (Monterrey)
🏢 Corning
📍 Monterrey