MLOps Engineer: Remote AI Deployment & Automation

Factored; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading tech company in Ciudad de México is looking for an experienced MLOps Engineer to join their team. You will be involved in deploying machine learning models to production and optimizing workflows for efficiency. The ideal candidate should possess a degree in a relevant field and demonstrate expertise in programming and cloud platforms. This role offers a supportive team environment, competitive salary, and opportunities for professional growth, with the flexibility to work from home.

Servicios

Ownership through equity participation

Competitive salary for top talent

Annual company retreat

Education bonus for continuous learning

Paid time off

Tailored career roadmaps

High-performance culture

Formación

• Experience as MLOps Engineer, demonstrating development and maintenance of machine learning models.
• Strong understanding of machine learning algorithms and techniques.
• Experience managing machine learning infrastructure.

Responsabilidades

• Deploy machine learning models to production using industry best practices.
• Design and implement automated workflows for model deployment.
• Establish monitoring systems for deployed models.

Conocimientos

Programming in Python

Programming in R

Programming in Java

Machine learning libraries/frameworks

Kubernetes

Docker

Cloud platforms expertise

Strong communication skills in English

Educación

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field

Herramientas

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Descripción del empleo

A leading tech company in Ciudad de México is looking for an experienced MLOps Engineer to join their team. You will be involved in deploying machine learning models to production and optimizing workflows for efficiency. The ideal candidate should possess a degree in a relevant field and demonstrate expertise in programming and cloud platforms. This role offers a supportive team environment, competitive salary, and opportunities for professional growth, with the flexibility to work from home.