• Execute performance tuning activities for model serving infrastructure to maintain optimal latency and throughput.
• Conduct post-deployment validation checks to ensure model prediction stability, API responsiveness, and overall service quality.
• Support the enhancement of operational pipelines, including CI/CD workflows, configuration templates, and automated monitoring scripts.
• Participate in service reliability reviews to improve platform uptime, incident response processes, and operational readiness.
• Coordinate closely with DevOps and Platform Engineering to address infrastructure-level concerns related to model hosting and deployment.
• Assist in the rollout of platform-level improvements, including model registry enhancements, container optimization, and new monitoring tools.

Minimum Qualifications

Key Requirements: (Must have)

• Machine Learning Operations (MLOPS)
• With Clou...