Principal Software Engineer, Machine Learning Operations
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The role
Lead the design and implementation of scalable ML operations infrastructure for satellite imagery analytics.
Own the end-to-end ML lifecycle: labeling, ETL, training, deployment, and automated monitoring.
Architect and drive the technical roadmap for the ML Ops platform to ensure reliability and scale.
Develop production-grade Python and Go services, and build robust data pipelines and microservices.
Collaborate with computer vision, data, and platform teams to accelerate AI product development and mentor engineers.
Communicate strategy, risks, and progress to senior leadership and stakeholders, while upholding security and compliance.
Own the end-to-end ML lifecycle: labeling, ETL, training, deployment, and automated monitoring.
Architect and drive the technical roadmap for the ML Ops platform to ensure reliability and scale.
Develop production-grade Python and Go services, and build robust data pipelines and microservices.
Collaborate with computer vision, data, and platform teams to accelerate AI product development and mentor engineers.
Communicate strategy, risks, and progress to senior leadership and stakeholders, while upholding security and compliance.
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