AI MACHINE LEARNING ENGINEER - [G348]

We are seeking a highly skilled mlops engineer to join our team. as a key member of our organization, you will play a crucial role in building and maintaining scalable ml infrastructure on databricks, leveraging unity catalog and feature stores. key responsibilities: - design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production. - develop calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle. - design and optimize reinforcement learning (rl) orchestration pipelines for real-time, low-latency environments. - create frameworks for training, retraining, and validating ml models to enable efficient experimentation and deployment. - implement best practices for ci/cd to streamline deployment and monitoring of ml models, integrating with databricks workflows and git-based systems. - collaborate with ml scientists to ship, deploy, and maintain models. requirements: - 3+ years of experience in mlops, ml engineering, data engineering, or related roles managing ml workflows in production. - 5+ years of experience using python. - proficiency with databricks, apache spark, mlflow, unity catalog, and feature stores. - familiarity with ml lifecycle tools like mlflow, kubeflow, and airflow. - strong knowledge of git workflows, ci/cd practices, and tools such as gitlab. - understanding of model performance monitoring, drift detection, and retraining workflows. in this role, you will have the opportunity to work on challenging p...