As a Senior AI Data Engineer at ScoutIT, you'll play a crucial role in deploying and managing machine learning models across a global business. This position is ideal for those with strong data engineering skills and a passion for AI.
ScoutIT is looking for a Senior AI Data Engineer to join their team in Gauteng. In this role, you'll be part of a collaborative environment that focuses on deploying and managing machine learning models and AI agents across a global business operating in over 150 countries. Your work will be essential in designing and building scalable, secure data pipelines that support MLOps and Agent Fabric workloads.
Your day-to-day responsibilities will include collaborating with AI teams to productionise data requirements and integrate them into MLOps pipelines. You'll need hands-on experience with various data-store technologies, particularly NoSQL and relational databases, to ensure efficient data management. Additionally, practical experience with tools like SageMaker or similar model lifecycle tooling will be beneficial.
This role is best suited for individuals with at least five years of experience in data engineering, particularly those who have a strong understanding of MLOps and data pipeline design. You should be comfortable working in a fast-paced environment and have a passion for leveraging data to drive AI solutions.
Key requirements for this position include expertise in designing and operating data pipelines, integrating data workflows with MLOps, and familiarity with relevant data technologies. If you're ready to take on a challenging role in an innovative company, ScoutIT could be the perfect fit for you.
You'll be taken to the original listing on PNet to apply.