As a Machine Learning Operations Engineer at Siri Technologies, you'll be part of a dynamic team focused on enhancing business intelligence in the Private Banking sector. Your role will involve applying DevOps and SRE practices to streamline machine learning operations.
Siri Technologies is looking for a Machine Learning Operations Engineer to join their Private Bank Technical Business Intelligence Team in Sandton, Johannesburg. This role is essential for ensuring that machine learning models are efficiently integrated and maintained within the banking environment. You will work closely with data scientists and other engineers to optimize the deployment and performance of machine learning systems.
In your day-to-day work, you will apply your knowledge of DevOps and Site Reliability Engineering (SRE) to enhance the reliability and efficiency of machine learning operations. Your responsibilities will include providing technical guidance throughout the release process, ensuring that all systems are running smoothly and efficiently. You will also be involved in troubleshooting and resolving any issues that arise during deployment.
This position is ideal for someone who has a strong understanding of machine learning concepts and is passionate about applying engineering principles to improve operational processes. You should be comfortable working in a fast-paced environment and be able to collaborate effectively with cross-functional teams.
Key requirements for this role include: • Proficiency in DevOps methodologies • Familiarity with SRE practices • Experience in providing technical support during the release process
If you are looking to make an impact in the banking sector through innovative machine learning solutions, this role could be a great fit for you.
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