As a Machine Learning Engineer at Sabenza IT, you'll focus on enhancing system performance and implementing MLOps practices. This role is ideal for someone with a strong background in machine learning and systems engineering.
Innovative and focused on technology solutions.
At Sabenza IT, the team is dedicated to advancing AI technologies and improving system performance. As a Machine Learning Engineer, you will be responsible for systems-level performance engineering, which includes load testing and capacity planning to ensure that AI systems operate efficiently under various conditions.
Your day-to-day work will involve establishing MLOps practices that are crucial for the deployment and maintenance of machine learning models. This includes implementing continuous integration and continuous delivery (CI/CD) for models, managing model versioning, and ensuring observability in machine learning systems. You will work closely with other engineers and data scientists to create robust and scalable AI solutions.
This role suits someone with a strong technical background in machine learning and systems engineering, who is comfortable with performance optimization and has experience in MLOps. Key requirements include a solid understanding of CI/CD processes, model versioning, and the ability to monitor and improve the performance of machine learning systems.
If you are passionate about AI and looking to make a significant impact in a tech-focused environment, this position at Sabenza IT could be a great fit for you.
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