Machine Learning Engineering Professional
Core
Build, deploy, and maintain ML products (batch or real-time) to enhance customer experience and drive business value.
Role type
Machine Learning Engineering Professional
Builds
Operationalized ML products integrated into production environments
Domain
Cloud-native ML infrastructure and deployment
Deliverable
production ML models
Required skills
ML pipeline productionization, cloud-native technologies, CI/CD workflows, model serving, model monitoring
Preferred skills
Google Cloud Platform (GCP)
Technologies
Docker, Kubernetes, serverless alternatives, GCP
Responsibilities
Operationalize ML products in collaboration with Data Scientists and stakeholders, develop and deploy code using cloud-native technologies, champion ML best practices throughout the lifecycle, contribute to innovation and process improvement
Seniority
Mid-level, hands-on IC
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