The ideal candidate will have a minimum of 7 years working in the data science space with the last 5 years focused on ML and AI developments. This is a pivotal position for the business and as such they are looking for an individual that is not only technically capable but can also engage with non technical stakeholders and present business cases to executives.
Some other important areas of experience are as follows.
– Building and maintaining ML pipelines
– Support automation of workflows for data ingestion and CI/CD for ML systems.
– Implement and maintain observability tools to monitor model performance and health.
-Work closely with Data Scientists to operationalise models and integration’s
– Gain exposure to cloud infrastructure optimization for ML services.
– Seek continuous improvement in the team and business.
