Mlops Engineer

MLOps Engineer (Azure Databricks) Experience Required - 5+ years of IT experience with at least 3+ years in Machine Learning / Data Science / MLOps roles. Role Overview - MLOps Engineer responsible for building, deploying, and maintaining scalable machine learning pipelines on Azure Databricks. The role focuses on operationalizing models, ensuring reliability, scalability, and continuous delivery of ML solutions. Key Responsibilities - Design, develop, and maintain end-to-end ML pipelines on Azure Deploy, manage, and monitor ML models using Azure Databricks Implement MLOps practices including model versioning, tracking, and lifecycle management Build and optimize data pipelines using PySpark/Spark Collaborate with Data Scientists and Data Engineers to productionize models Develop and maintain CI/CD pipelines using Azure DevOps Ensure code versioning and best practices using Git Monitor model performance and support continuous improvement. Required Skills Strong hands-on experience in Python Proficiency in Azure ecosystem