Senior Software Engineer (Machine Learning)
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The role
You will be a technical leader at the intersection of ML and software engineering, owning the full lifecycle of complex ML systems—from ideation and design to deployment, monitoring, and updates.
Define the technical approach and architecture, promote best practices, and guide the direction of ML serving and platform infrastructure.
Design and implement scalable model serving platforms for both batch and real-time inference, and build deployment pipelines with automated testing and validation.
Develop robust monitoring, logging, and alerting systems for ML services, and enable safe experimentation through A/B testing and model versioning.
Collaborate with data scientists to optimize serving performance, and design efficient scaling, load balancing, and rollback capabilities.
Bring 7+ years of software experience with 3+ years in ML serving/infrastructure; strong Python, Kubernetes, cloud platforms, and CI/CD with GitOps.
Define the technical approach and architecture, promote best practices, and guide the direction of ML serving and platform infrastructure.
Design and implement scalable model serving platforms for both batch and real-time inference, and build deployment pipelines with automated testing and validation.
Develop robust monitoring, logging, and alerting systems for ML services, and enable safe experimentation through A/B testing and model versioning.
Collaborate with data scientists to optimize serving performance, and design efficient scaling, load balancing, and rollback capabilities.
Bring 7+ years of software experience with 3+ years in ML serving/infrastructure; strong Python, Kubernetes, cloud platforms, and CI/CD with GitOps.
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