Machine Learning Ops Engineer 2

Job description

Key Responsibilities: Model Deployment Automation: Develop, deploy, and manage ML models on Databricks using MLflow for tracking experiments, managing models, and registering them in a centralized repository. Infrastructure Environment Management: Set up scalable and fault-tolerant infrastructure to support model training and inference in cloud environments such as AWS, GCP, or Azure. Monitoring Performance Optimization: Implement monitoring systems to track model performance, accuracy, and dri…