As an MLOps Engineer at A1L Realizations, you'll focus on deploying machine learning models effectively. Your work will involve collaborating with engineering teams to ensure smooth operations.
A1L Realizations is looking for an MLOps Engineer to join their team in Johannesburg. This role is crucial for deploying machine learning models into production environments. You will be responsible for ensuring that these models operate efficiently and effectively in real-world applications.
In your day-to-day work, you will focus on operationalizing CI/CD pipelines specifically for machine learning workflows. This means you will collaborate closely with Platform Engineering teams to create scalable and automated strategies that enhance the deployment process. Your role will require a strong understanding of machine learning principles and the ability to implement them in a production setting.
The ideal candidate for this position should have a solid background in machine learning and experience with CI/CD practices. You should be comfortable working in a collaborative environment, as teamwork is essential for the success of the projects you will be involved in. If you are passionate about bridging the gap between machine learning and operational deployment, this role could be a great fit for you.
Key responsibilities include: • Deploying machine learning models into production environments • Operationalizing CI/CD pipelines for machine learning workflows • Collaborating with Platform Engineering teams to enhance deployment strategies
This position is not entry-level friendly, so prior experience in MLOps or related fields is expected.
You'll be taken to the original listing on CareerJet to apply.