Senior Machine Learning Engineer
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El puesto
Design, implement, and roll out scalable ML and AI platforms for large-scale workloads.
Develop end-to-end pipelines covering data ingestion, feature engineering, model training, validation, and deployment.
Automate cloud infrastructure provisioning and ML pipeline deployments using Docker, Kubernetes, and AWS.
Define standards for complex pipelines and select appropriate algorithms and data structures.
Own ML lifecycle management, including A/B testing, monitoring, retraining, and model quality verification.
Collaborate across teams, mentor peers, and communicate effectively to scale ML initiatives.
Develop end-to-end pipelines covering data ingestion, feature engineering, model training, validation, and deployment.
Automate cloud infrastructure provisioning and ML pipeline deployments using Docker, Kubernetes, and AWS.
Define standards for complex pipelines and select appropriate algorithms and data structures.
Own ML lifecycle management, including A/B testing, monitoring, retraining, and model quality verification.
Collaborate across teams, mentor peers, and communicate effectively to scale ML initiatives.
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