Senior MLOps Engineer
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El puesto
Design and implement end-to-end MLOps pipelines to automate model training, deployment, monitoring, and management.
Lead and mentor a team of MLOps engineers, fostering an inclusive and collaborative environment that drives innovation.
Collaborate with Data Scientists and ML Engineers to ensure models are production-ready, scalable, and maintainable.
Develop strategies for model versioning, testing, and deployment to enable a seamless development lifecycle.
Monitor model performance and data drift, implementing automated alerts and retraining processes.
Stay ahead of MLOps trends, integrating new tools and practices to improve reliability and efficiency.
Lead and mentor a team of MLOps engineers, fostering an inclusive and collaborative environment that drives innovation.
Collaborate with Data Scientists and ML Engineers to ensure models are production-ready, scalable, and maintainable.
Develop strategies for model versioning, testing, and deployment to enable a seamless development lifecycle.
Monitor model performance and data drift, implementing automated alerts and retraining processes.
Stay ahead of MLOps trends, integrating new tools and practices to improve reliability and efficiency.
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