Intern supporting analysis of vehicle data and development of Machine Learning models at BMW Group. Focusing on strategies for improving driving efficiency and climate control behavior.
About the role
- MLOps Consultant designing and optimizing machine learning model infrastructure for Capgemini. Collaborating with diverse teams to ensure efficient deployment and monitoring of ML models.
Responsibilities
- Diseñar, implementar y optimizar la infraestructura y procesos necesarios para el ciclo de vida completo de modelos de Machine Learning
- Asegurando su despliegue, monitoreo y mantenimiento en entornos productivos de manera eficiente y escalable
- Definir y construir pipelines de CI/CD para modelos de Machine Learning
- Automatizar procesos de entrenamiento, validación y despliegue de modelos
- Integrar herramientas de versionado de datos y modelos (DVC, MLflow)
- Implementar prácticas de monitoreo y retraining para modelos en producción
- Garantizar la seguridad, gobernanza y cumplimiento normativo en el ciclo de vida de ML
- Colaborar con equipos de Data Science, DevOps y Arquitectura para optimizar flujo
Requirements
- 2+ años en MLOps o DevOps aplicado a proyectos de IA
- Experiencia en herramientas como MLflow, Kubeflow, Airflow, Docker, Kubernetes
- Pensamiento analítico y enfoque en la resolución de problemas
- Comunicación efectiva con usuarios técnicos y funcionales
- Capacidad para traducir requerimientos de negocio en soluciones técnicas BI
- Experiencia en metodologías ágiles (Scrum, Kanban) y gestión de proyectos
- Adaptabilidad a entornos multiculturales y proyectos internacionales
Benefits
- Compensación competitiva
- Beneficios superiores a los de Ley
- Ambiente laboral diverso e inclusivo
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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