Staff Engineer - Machine Learning
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El puesto
Lead the translation of data science research into production-ready ML solutions.
Design and implement end-to-end ML pipelines, including data pre-processing, model generation, deployment, cross-validation, and feedback loops.
Develop high-performance ML API services with low latency and high scalability.
Build monitoring and observability to track engineering efficiency and model health over time.
Collaborate with cross-functional teams to drive technical alignment, architect innovative solutions, and execute POCs.
Own the full feature lifecycle from requirements gathering to deployment and ongoing monitoring, following MLOps best practices.
Design and implement end-to-end ML pipelines, including data pre-processing, model generation, deployment, cross-validation, and feedback loops.
Develop high-performance ML API services with low latency and high scalability.
Build monitoring and observability to track engineering efficiency and model health over time.
Collaborate with cross-functional teams to drive technical alignment, architect innovative solutions, and execute POCs.
Own the full feature lifecycle from requirements gathering to deployment and ongoing monitoring, following MLOps best practices.
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