Lead Machine Learning Engineer developing AI/ML solutions for Disney's immersive experiences across parks, resorts, and entertainment. Collaborate with cross - functional teams for innovative technology implementation.
BE
Hybrid Senior Machine Learning Engineer – MLOps, Computer Vision
Posted 1 hour ago
About the role
- Senior Machine Learning Engineer working on MLOps and Computer Vision for a tech company. Focused on building training pipelines and robust model operation systems.
Responsibilities
- Diseñar, entrenar y optimizar modelos de deep learning enfocados en visión por computadora.
- Construir y mantener pipelines de entrenamiento de modelos (MLOps), asegurando reproducibilidad y escalabilidad.
- Preparar y gestionar datasets (limpieza, versionado, split, data augmentation).
- Evaluar modelos utilizando métricas como IoU, precision, recall y mAP.
- Detectar y mitigar problemas como overfitting mediante tuning y regularización.
- Implementar estrategias de optimización de hiperparámetros (grid search, random search, optimización bayesiana).
- Analizar errores del modelo (falsos positivos/negativos, confusión de clases, calidad de datos).
- Monitorear y comparar experimentos utilizando herramientas como MLflow, Weights & Biases TensorBoard.
- Colaborar en la construcción de pipelines automatizados para entrenamiento y validación continua.
- Asegurar buenas prácticas de MLOps: versionado de datasets/modelos, trazabilidad y automatización.
Requirements
- Al menos 5 años de Experiencia sólida en Machine Learning / Deep Learning aplicada a Computer Vision. **(EXCLUYENTE).**
- Dominio de Python, PyTorch y/o TensorFlow.
- Experiencia trabajando con frameworks de visión por computadora (YOLO, Ultralytics).
- Experiencia en construcción de pipelines de entrenamiento (MLOps) **(EXCLUYENTE).**
- Conocimiento en herramientas de experiment tracking (MLflow, W&B, TensorBoard).
- Manejo de datasets y formatos de anotación (COCO, YOLO).
- Experiencia con entrenamiento en GPU.
- Buen manejo de Git y entornos de desarrollo.
- Experiencia en herramientas de etiquetado (CVAT, Label Studio, Roboflow).
- Conocimiento en prácticas de MLOps: versionado, reproducibilidad y automatización.
Benefits
- Salario Competitivo. Contratación con prestaciones de Ley.
Job title
Job type
Experience level
Salary
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Degree requirement
Tech skills
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