•Optimize the design practices for building AI/ML models
•Performance test and tune the AI/ML models and any runtime components
•Implement environments in our global data centers
•Operationalize data center failover processes for inference enginesIntegrate with corporate security systems, SOC, NOC, etc. for monitoring and alerting
•Define deployment best practices and automate the promotion of code/models (DevOps processes)
•Manage, maintain, refresh and upgrade environmental components (including patching, etc.)
Engineer and operationalize the AI/ML API environments
•Support models built-in Python and R
•Define architecture and selecting appropriate runtime components to host AI/ML models
•Support the Data Science team with any data movements, data transformation, and analysis, etc
•Capacity management and planning of the environment
•Build API interface for AI/ML models

Skills Required:
•Nice to have experience w...