MLOps Engineer designing and maintaining cloud infrastructure for large - scale computer vision model training. Collaborating with Data Scientists and AI Engineers to streamline model development lifecycle.
About the role
- MLOps / ML Engineer role with a fintech company focusing on operations, scalability, and governance of ML models. Collaborate with Data Science and Engineering teams in a hybrid environment.
Responsibilities
- Monitorear drift, performance y estabilidad de modelos de ML en producción.
- Gestionar el deploy, versionamiento y gobernanza de modelos.
- Automatizar retraining, scheduling y pipelines de inferencia.
- Diseñar y mantener feature stores para equipos de Data Science y Analytics.
- Documentar procesos de reproducibilidad, auditoría técnica y validación de modelos.
- Asegurar una infraestructura de ML robusta, resiliente y escalable.
- Colaborar con áreas técnicas y de negocio en la implementación de mejoras continuas.
Requirements
- Formación en Ingeniería, Informática, Ciencia de Datos, Matemáticas o carreras afines.
- 3 a 5+ años de experiencia en MLOps o como Machine Learning Engineer.
- Dominio avanzado de Python.
- Experiencia sólida con CI/CD, Docker y Kubernetes.
- Experiencia práctica con MLflow, Vertex AI o SageMaker.
- Conocimiento en métricas avanzadas de modelos, monitoreo en tiempo real y prácticas de observabilidad.
Benefits
- Modalidad: Presencial en Ciudad de México durante los primeros 3 meses, luego híbrido.
- Jornada: Full-time.
- Tipo de contratación: Contratación directa.
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