20 publicaciones de empleo destacadas de devops engineer, sr with azure en monterrey, nle (¡Están contratando!)

Sr. Machine Learning Engineer
Corning —Obispado, N. L.
- Informática
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- Inglés
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Clarios —San Pedro Garza García, N. L.
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Machine Learning Engineer
Corning —Obispado, N. L.
- Informática
- DevOps
- Inglés
Lead AI Engineer
Corning —Obispado, N. L.
- Azure
- Informática
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Data App Engineer-ID 10048
Getecsa —Monterrey, N. L.
- Azure
- DevOps
- Inglés
Net Developer (Azure / AI) Monterrey
Globant —Monterrey, N. L.
- Azure
- Oracle
- DevOps
Senior HashiCorp Vault Engineer
Accenture —Monterrey, N. L.
- Tiempo completo
- Azure
- Inglés
SR .NET Developer
Accenture —Monterrey, N. L.
- Tiempo completo
- Azure
- Inglés
Senior HashiCorp Engineer
Accenture —Monterrey, N. L.
- Tiempo completo
- Azure
- Inglés
Full Stack Software Engineer (Backend)
MSIGHTS —San Pedro Garza García, N. L.
- Tiempo completo
- Informática
- DevOps
- Inglés
Postulación rápida
Support Engineer 2
Blue Yonder —Monterrey, N. L.
- Tiempo completo
- Oracle
- Administración de personal
- DevOps
Copado DevOps engineering
Accenture —Monterrey, N. L.
- Tiempo completo
- Administración de personal
- DevOps
- Inglés
Engineer Integration - MuleSoft - Remoto
NORTHWARE SA DE CV —Monterrey, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Oracle
- Informática
- Salesforce
- Seguro de vida
Postulación rápida
5d
Engineer Integration - MuleSoft - Remoto
Northware —Monterrey, N. L.
- Tiempo completo
- Oracle
- Informática
- Salesforce
- Seguro de vida
5d
Senior Full Stack Solutions Engineer
Accenture —Monterrey, N. L.
- Tiempo completo
- Azure
- JavaScript
8d
Software Product Security Engineer
Celestica —Monterrey, N. L.
- Azure
- DevOps
- SQL
CI/CD Platform & Automation Engineer
Accenture —Monterrey, N. L.
- Tiempo completo
- DevOps
- Inglés
- Desarrollo de software
ServiceNow ITAM and Integration Specialist
Infosys —Monterrey, N. L.
- Azure
- Oracle
- Administración de personal
Postulación rápida

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Sr. Machine Learning Engineer

Corning -
Obispado, N. L.

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Información del empleo

Cualificaciones

TensorFlow
Informática
Ingeniería de software
Kubernetes
PyTorch
DevOps
Inglés
Maestría
Docker
Licenciatura
Experiencia en manufactura
Python
Ciencia de los datos

Descripción completa del empleo

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Date: Sep 6, 2026

Location: Obispado, NLE, MX, 64060

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Company: Corning

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.- Hands-on understanding of the end-to-end ML lifecycle and MLOps/DevOps concepts, including CI/CD, model versioning, orchestration, monitoring, and containerization.
Ability to influence architecture and design decisions, troubleshoot complex production issues, and coach or guide less-experienced team members without direct reports.
Advanced technical and business English, plus the ability to work onsite in Monterrey at least two days per week and support plant-based projects as needed.

What would be a plus?

Experience with Databricks, MLflow, Kubeflow, Docker, Kubernetes, cloud or on-premise deployment, and enterprise systems integration.- Experience deploying ML solutions in manufacturing, industrial, quality, defect-reduction, or production-optimization environments.- Experience with APIs, model serving infrastructure, relational or non-relational databases, distributed computing, security, and data privacy.

What do we offer?

Competitive benefits above the requirements of Mexican law.
Opportunity to work on high-impact machine learning initiatives that support 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.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 [email protected]

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Quiero recibir la alerta de empleo más reciente para devops engineer, sr with azure en monterrey, nle

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