As a Senior AI Data Engineer at ScoutIT, you'll play a crucial role in deploying and managing machine learning models across a global platform. This position is ideal for someone with a strong background in data engineering and MLOps.
ScoutIT is looking for a Senior AI Data Engineer to join their team in Gauteng. In this role, you will be part of a dynamic and innovative environment where you will design, build, and operate scalable data pipelines that support machine learning operations (MLOps) and AI Agent workloads. Your work will have a global impact, as the company operates in over 150 countries.
Your day-to-day responsibilities will include collaborating with AI teams to integrate data requirements into MLOps pipelines. You will need to have hands-on experience with various data-store technologies, particularly NoSQL and relational databases like DynamoDB. Additionally, you will be expected to have practical experience in integrating data workflows with MLOps pipelines and model lifecycle tooling, such as SageMaker and SageMaker Pipelines.
This role is well-suited for experienced data engineers who are passionate about AI and machine learning. You should have at least five years of experience in data engineering, with a strong understanding of data pipeline design and MLOps. If you thrive in a collaborative environment and enjoy working on innovative projects, this could be the perfect opportunity for you.
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