Principal Software Engineer, Machine Learning Operations
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
Track your applications on mobile The free Whileresume app, on iPhone and Android.
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.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inYou might also like these jobs
No closely matching jobs yet — here are the most recent ones.