As an MLOps Engineer at A1L Digital, you'll play a crucial role in ensuring machine learning models are effectively deployed and maintained. This position is ideal for someone with a solid background in machine learning and DevOps practices.
A1L Digital is looking for an MLOps Engineer to join their team in Johannesburg's Southern Suburbs. In this role, you'll be responsible for operationalising machine learning models, ensuring they are effectively served, monitored, and retrained. Your work will involve deploying these models into production environments, making sure they are scalable and reliable.
Your day-to-day tasks will include developing and maintaining CI/CD pipelines specifically for machine learning workflows. You'll collaborate closely with Platform Engineering teams to ensure that the deployment processes are automated and aligned with enterprise standards. This role is best suited for someone with a strong background in machine learning engineering and experience in DevOps practices.
Key responsibilities include: • Deploying machine learning models into production environments • Operationalising CI/CD pipelines for machine learning workflows • Collaborating with Platform Engineering teams to enhance deployment practices
To succeed in this role, you should have at least 5 years of experience in machine learning engineering, DevOps, or MLOps. Strong experience in deploying and maintaining machine learning models in production is essential, along with familiarity with CI/CD practices. If you're passionate about making machine learning solutions scalable and reliable, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.