Join a dynamic team in Pretoria as a Senior AI Engineer, where you'll mentor junior engineers and work on cutting-edge data pipelines. This role is perfect for someone with a strong background in MLOps and data engineering who enjoys collaborating with AI teams.
As a Senior AI Engineer, you'll play a crucial role in designing and building scalable data pipelines that support MLOps and Agent Fabric workloads. Your expertise will help ensure that data requirements are seamlessly integrated into MLOps pipelines, allowing for efficient model deployment and management. This position is ideal for someone who enjoys working hands-on with data technologies and mentoring others in the field.
In your day-to-day work, you will collaborate closely with AI teams to productionise data workflows and ensure that best practices in data engineering are followed. You'll be responsible for building secure and efficient data pipelines, leveraging your experience with various data-store technologies, including NoSQL and relational databases. Your role will also involve sharing your knowledge with junior data engineers, helping them grow and develop their skills.
Key responsibilities include: • Designing and building scalable data pipelines • Collaborating with AI teams to integrate data requirements • Mentoring junior data engineers • Ensuring best practices in data engineering and MLOps are followed
To succeed in this role, you should have at least five years of experience in data engineering and MLOps, with a strong understanding of data pipeline technologies. Familiarity with tools like SageMaker and experience in integrating data workflows with MLOps pipelines will be advantageous. If you're passionate about AI and data engineering and enjoy working in a collaborative environment, this could be the perfect opportunity for you.
You'll be taken to the original listing on PNet to apply.