As a Machine Learning Engineer at Imizizi, you'll focus on optimizing AI systems for performance and scalability. This role is ideal for someone with a strong background in MLOps and systems-level engineering.
Innovative and tech-driven environment
Imizizi is looking for a skilled Machine Learning Engineer to enhance their AI systems through performance engineering. In this role, you will be responsible for conducting load testing and capacity planning to ensure that the systems can handle varying workloads efficiently. Your expertise will help establish best practices in MLOps, which is crucial for the deployment and maintenance of machine learning models in production environments.
Day-to-day, you will work closely with data scientists and software developers to identify performance bottlenecks and implement solutions. You will analyze system performance metrics and make recommendations for improvements. Your role will also involve collaborating on the design of scalable architectures that can support the company's growing AI initiatives.
This position is suited for someone with a strong technical background in machine learning and systems engineering. You should be comfortable with performance testing tools and have a solid understanding of MLOps principles. If you are passionate about optimizing AI systems and enjoy working in a fast-paced, innovative environment, this could be the perfect opportunity for you.
Key responsibilities include: • Performing systems-level performance engineering • Conducting load testing and capacity planning • Establishing MLOps practices for efficient model deployment • Collaborating with cross-functional teams to enhance system performance
If you have a proven track record in machine learning and a passion for performance optimization, we encourage you to apply for this exciting role at Imizizi.
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