Job Description

As a senior MLOps engineer, you will be responsible for designing and maintaining ML infrastructure that deploys models in Kubernetes-based environments. This role requires expertise in scalable AI solutions.


Main Responsibilities:

  • Develop and implement efficient machine learning infrastructure
  • Maintain existing ML systems deployed on cloud services to ensure optimal performance

Key Skills:

  1. Predictive analytics knowledge
  2. CLOUD deployment skills (AWS)

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