Mlops Engineer - Foránea (Mexicali)

Descripción y detalle de las actividades Architect and maintain scalable MLOps pipelines for model training, deployment, and monitoring.
Lead the implementation of containerized ML workloads using Kubernetes.
Collaborate with data scientist and engineers to productionize ML models.
Automate model lifecycle management including versioning, rollback, and performance tracking.
Ensure high availability, security, and compliance of ML systems.
Develop infrastructure as code using tools like Terraform and Helm.
Establish and enforce best practices for model governance and reproducibility.
Experiencia y requisitos Education : Bachelor's degree in Compute Science, Engineering, or related field.
Experience : 5+ years managing technology projects.
Skills :
Extensive experience with Kubernetes and container orchestration.
Proficiency in Python and Bash scripting.
Experience with ML frameworks such as Tensor Flow, Py Torch, or Scikit-learn.
Fa...

Ready to Apply?

Submit your application today and join our talented team at Link-Worldwide.