As a Machine Learning Engineer at Sabenza IT Recruitment, you'll be at the forefront of developing advanced AI systems. This role is perfect for someone with a strong background in system architecture and MLOps practices.
Innovative and technical-focused environment
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 system architectures that leverage Amazon Bedrock and various agent frameworks. Your expertise will guide the technical strategy for model selection, fine-tuning, and performance trade-offs, ensuring that the systems you create are both effective and efficient.
Day-to-day, you will design and implement 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 part of your role, including load testing and capacity planning to ensure the systems can handle the demands of enterprise workflows.
You will establish MLOps practices, which include setting up CI/CD pipelines and managing model versioning. This position is ideal for someone who enjoys integrating foundation models into complex use cases and is passionate about driving innovation in AI. Your technical leadership will also involve mentoring junior team members, fostering a collaborative and growth-oriented environment.
To succeed in this role, you should have a strong background in machine learning and system architecture, with at least five years of relevant experience. Familiarity with containerization and MLOps practices is essential, as well as a proven track record of performance engineering. If you are looking for a challenging role where you can make a significant impact, this position is for you.
You'll be taken to the original listing on PNet to apply.