Description

You will own the deployment and lifecycle management of automated model pipelines for validation and production.

Responsibilities

• Deliver automated pipelines that monitor model performance and trigger retraining.
• Develop and enforce MLOps standards to move models through the production lifecycle.
• Manage the end-to-end lifecycle of deployed AI solutions.
• Collaborate with stakeholders to communicate changes during the model lifecycle.

Required Skills

• 5+ years of experience in Data Science or AI/ML roles.
• Proven experience with AI/ML model deployment.
• Experience building automated model pipelines.
• Knowledge of MLOps standards and practices.
• Ability to manage the lifecycle of deployed AI solutions.
• Graduate degree in a relevant field.

Key Skills

Education

Any Graduate