NCF Category: Systems Integration and infrastructure

You can understand the capabilities and limitations of different infrastructures.

You can consider the entire lifecycle of machine learning products, from deployment to maintenance and updates.

You can implement testing frameworks, and understand issues of monitoring systems and model drift.

You can balance cost, benefit, and performance considerations in system integration.

You consider redundancy and ensure the reliability of components when implementing solutions.

You can demonstrate proficiency in containerisation and ensure interoperability between different systems and platforms.

You can create and manage MVP pipelines and interfaces, ensuring seamless integration of machine learning models into existing systems.

You identify areas of improvement and work to improve infrastructure.

You design solutions that address lifetime management considerations.

You devise testing frameworks and lead on monitoring systems and model drift.

You lead on balancing cost, benefit, and performance considerations in system integration.

You ensure redundancy and reliability in solutions.

You lead on containerisation and ensure continuous improvement between different systems and platforms.

You lead on continuous improvement and managing the migration of tools from one system to another.