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Mlops Engineer
hace 4 semanas
BCM Uruguay is Hiring
Senior MLOps Engineer (DevOps enfocado en ML)
Remote - LATAM
**English Level**: B2+ / C1 - Advanced
Contractor - USD
⏱ Full-Time
Para empresa multinacional de servicios en ingeniería digital, especialista en software de última generación y en desarrollo de productos digitales.
Cuando una idea aparece, nacen la motivación y el deseo de concretarla. Esa motivación es la que mueve a nuestro equipo. Desde que comenzamos a dar nuestros primeros pasos solo hemos tenido una idea en mente, la tecnología es siempre el camino.
¿Buscas nuevos desafíos en tu carrera? En BCM encontrarás un equipo que nunca deja de crecer y que se suma a todo tipo de proyectos.
Estamos listos para hacerlo, contamos contigo
Ser parte de BCM es
✔ formar equipo con grandes profesionales
✔ trabajar desde casa
✔ tener cubiertos gastos por conectividad
✔ disfrutar de descuentos en capacitaciones
✔ disfrutar el día libre de cumpleaños
Y mas
Nuestros Valores ➡ confiabilidad, empatía, compromiso, ética profesional, responsabilidad social
Nuestros Servicios
> Desarrollo de Software
Desarrollo Web - Desarrollo Mobile - Diseño UX/UI - Metodologías Áglies
- IT
Microinformática - Help Desk - Soluciones de Cableado - Cloud - Ciberseguridad - Gobernance, Riesgo y Cumplimiento - BCP / DRP
- Consultoría
BigData & BI - Blockchain - Servicios Profesionales
- Diseño
Diseño Gráfico - Branding - Diseño de Packaging - Diseño de Producto - UX/UI - Animación 2D y 3D - Redes Sociales
WeAreHuman #WeAreFamily #WeAreBCM
**Requisitos**:
- +6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps.
- Monitoring Build & Production systems using automated monitoring and alarm tools.
- Knowledge of machine learning frameworks: JAX, Keras, PyTorch, Scikit-Learn, TensorFlow.
- Experience with MLOps tools such as ModelDB, Kubeflow, Pachyderm, and Data Version Control (DVC).
- Experience in supporting model builds and model deployment for IDE-based models and autoML tools, experiment trakcing, model management, version tracking & model training (Dataiku, Datarobot, Kubeflow, MLflow, neptune.ai), model hyperparameter optimization, model evaluation, and explainability (SHAP, Tensorboard).
- Proven experience in cloud engineering and infrastructure management, especially with AWS, Azure, or Google Cloud.).
Beneficios
**Home Office - 100% Remoto Contractor - Salario en USD Horario**: lunes a viernes. 8hs diarias. Espacio de trabajo en edificios Regus Regalo de cumpleaños Regalo por matrimonio Regalo por nacimiento de hijos Descuentos en capacitaciones Facilidad de compra de hardware
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