Job Description

Responsibilities

  • 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

  • Machine Learning
  • Data Engineering
  • With Cloud bac...

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