Machine Learning Engineer
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El puesto
Architect, build, and operate scalable data pipelines and feature stores for batch and real-time workloads.
Create reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling.
Ingest and unify event streams from various sources into analytics-ready datasets.
Monitor data quality, model performance, latency, and cost, and drive improvements.
Collaborate with product, data science, and security teams to ship resilient, compliant services.
Automate deployment with CI/CD and infrastructure-as-code, and share knowledge through documentation and reviews.
Create reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling.
Ingest and unify event streams from various sources into analytics-ready datasets.
Monitor data quality, model performance, latency, and cost, and drive improvements.
Collaborate with product, data science, and security teams to ship resilient, compliant services.
Automate deployment with CI/CD and infrastructure-as-code, and share knowledge through documentation and reviews.
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