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, PyTorch, o Scikit-learn.
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Knowledge of CI/CD tools and monitoring Systems.
- **Languages**: Spanish (required), English (required).
- **Preferred Qualifications**:
- Experience with Kubeflow, MLflow, or similar platforms.
- Exposure to data versioning tools like DVC or LakeFS.
- Understanding of model explainability and compliance frameworks.
- Contributions to open-source MLOps projects.Ventajas- Beneficios de acuerdo a la LFT
- Bonos anuales
- Uniforme
- Caja de ahorro
- Días libres de calidad de vida
- Días libres por enfermedad
- Días libres por paternidad
- Snacks en comedor
- Área de ejercicio
- Área de juegos
- Convenios y descuentos empresariales
- Cultura gamificada
- Tienda virtual con artículos corporativos y tarjetas de regalo-
- **Número de vacantes** 1- ** Área** Informática/Sistemas/TI/Programación/Software- ** Contrato** Permanente- ** Modalidad** Híbrido- ** Turno** Diurno- ** Jornada** Tiempo Completo- ** Estudios** Carrera con título profesional- ** Inglés**Hablado: Avanzado, Escrito: Intermedio- ** Edad** 22 - 50 años- ** Disponibilidad p. viajar** No