Document, define, and prioritize all requirements for the ML algorithm platform.
Monitor platform adoption metrics, gather quantitative user feedback, and iterate on features to continuously improve the user experience.
Act as the primary Subject Matter Expert (SME) and central point of contact for all internal stakeholders and external collaborators.
Lead the design and creation of tools and services for the efficient packaging and deployment of algorithms across diverse environments.
Guide engineering teams in building a robust, scalable infrastructure for algorithm hosting and runtime management.
Ensure the distribution platform provides compatibility and robust support for a variety of machine learning frameworks (e.g., TensorFlow, PyTorch, Monai, and Keras).
Champion and enforce rigorous standards for algorithm performance and end-user usability.
Ensure strict adherence to regulatory compliance standards for the platform and all resulting outputs.
Skills & Requirements
Technical Skills
Ml algorithmsTensorflowPytorchMonaiKerasAlgorithm packagingAlgorithm deploymentInfrastructure managementRegulatory complianceUser experience design