As a Machine Learning Engineer at Sabenza IT Recruitment, you'll lead the design and implementation of advanced AI systems. This role is ideal for someone with a strong background in machine learning and cloud technologies, looking to make a significant impact in the field.
Sabenza IT Recruitment is seeking 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 and fine-tuning, ensuring optimal performance for complex use cases.
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 for model-to-service communication, which is crucial for maintaining system efficiency. Additionally, you will perform systems-level performance engineering, including load testing and capacity planning, to ensure that the systems can handle the required workloads.
As a senior member of the team, you will establish MLOps practices, including CI/CD pipelines and model versioning, which are essential for maintaining the integrity and reliability of the machine learning models. You will also integrate foundation models into enterprise workflows, providing technical leadership and mentorship to junior team members.
This role is suited for someone with at least five years of experience in machine learning and system architecture. A strong understanding of cloud technologies and containerization is essential. If you are passionate about AI and looking to lead innovative projects, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.