Mlops Engineer - Foránea

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 of Helm.
- Establish and enforce best practices for model governance and reproducibility.
-Experiência 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 TensorFlow, PyTor...