ML Ops & Analytics Engineer: Production Data Pipelines
Summary
A data engineer role focused on MLOps and analytics engineering: the person designs, deploys, and monitors production-grade ML pipelines, operationalizes models into data platforms and business workflows, and works with data scientists and engineers to standardize deployment and experimentation. Requires 3-6 years of experience and a relevant degree; cloud skills involved.
XL Smart career is seeking an experienced data engineer focused on analytics engineering and MLOps to design and run production-grade ML pipelines. You will operationalize models by integrating them into data platforms and business workflows, monitor performance, and collaborate with data scientists and engineers to standardize deployment and experimentation.
The role requires 3–6 years in data or analytics engineering, a Bachelor’s degree in a relevant field, and preferably a Master’s; cloud