Description

You will own the deployment and lifecycle management of automated machine learning pipelines, ensuring models move smoothly from validation to production.

Responsibilities

• Deploy automated model pipelines for validation and production release.
• Build automated systems to monitor model performance and trigger retraining.
• Develop MLOps standards to streamline the production lifecycle of AI solutions.
• Manage the end-to-end lifecycle of deployed AI solutions.
• Communicate model lifecycle changes and status updates to stakeholders.

Required Skills

• 5+ years of experience in Data Science.
• Hands-on experience with AI/ML implementation.
• Practical knowledge of MLOps workflows and tools.
• Experience building automated model validation pipelines.
• Experience with model performance monitoring and alerting.
• Any Graduate degree.

Preferred Skills

• Experience with containerization and orchestration for ML workloads.

Key Skills

Education

Any Graduate