As a Machine Learning Engineer at Sabenza IT Recruitment, you'll lead the development of advanced AI systems. This role is perfect for someone with a strong background in MLOps and containerization technologies.
Sabenza IT Recruitment is looking for a skilled Machine Learning Engineer to join their team in Pretoria. In this role, you will define and build advanced AI system architectures, utilizing tools like Amazon Bedrock and various agent frameworks. Your expertise will guide the technical strategy for model selection and performance optimization, ensuring that the systems you create are both efficient and effective.
Your day-to-day responsibilities will include designing and implementing containerized deployment standards using Docker and Kubernetes. You will also be responsible for architecting secure, low-latency networking solutions for model-to-service communication. Performance engineering will be a key aspect of your role, involving load testing and capacity planning to ensure the systems can handle real-world demands.
Additionally, you will establish MLOps practices, including CI/CD pipelines and model versioning, to streamline the integration of foundation models into enterprise workflows. This position is ideal for someone with a strong technical background who enjoys mentoring others and leading projects.
To succeed in this role, you should have at least five years of experience in machine learning engineering, with a solid understanding of containerization and MLOps. Strong problem-solving skills and the ability to work collaboratively in a team environment are essential. If you are passionate about AI and looking to make a significant impact, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.