Description
Softeq is accepting applications for a Production Machine Learning Engineer role focused on deploying and operating predictive models in production. The role covers forecasting, feature pipelines, reproducible training, batch and near-real-time inference, model endpoints, release management, monitoring, drift detection, validation, and explainability. Required technologies include Python, PySpark, Spark SQL, Databricks, Unity Catalog, Delta Lake, MLflow, feature storage, time-series forecasting, Git, CI/CD, containers, and secure secret handling.
