As an AI Engineer at Sabenza IT, you'll focus on enhancing system performance and implementing MLOps practices. This role is ideal for someone with a solid understanding of machine learning workflows and performance engineering.
Innovative and tech-focused
Sabenza IT is looking for an AI Engineer to join their team in Pretoria. This role is centered around systems-level performance engineering, where you'll be responsible for load testing and capacity planning to ensure optimal system performance. You will also be tasked with establishing MLOps practices, which are crucial for the deployment and management of machine learning models in production environments.
In your day-to-day work, you will design low-latency communication patterns and implement CI/CD pipelines specifically for machine learning models. This involves model versioning and ensuring that the models are efficiently integrated into the existing systems. Your expertise will help the team streamline processes and improve the overall performance of AI systems.
This position suits individuals who have a strong background in machine learning and performance engineering. You should be comfortable working with various tools and technologies related to MLOps and have a keen eye for optimizing system performance. If you are passionate about AI and enjoy tackling complex challenges, this role could be a great fit for you.
Key requirements include experience with load testing, capacity planning, and a solid understanding of CI/CD practices for machine learning. A proactive approach to problem-solving and the ability to work collaboratively within a team are essential for success in this role.
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