Develop and maintain cloud based MLOps infrastructure using Azure Machine Learning; Automate and enhance development processes to improve code quality and release efficiency; Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production; Create and manage ETL/ELT pipelines for data ingestion from various sources; Implement and maintain monitoring tools for data pipelines and ML model performance; Integrate ML models into CI/CD pipelines, ensuring consistent versioning and testing; Contribute to the development of automated MLOps pipelines; Stay updated on the latest ML and MLOps tools and practices
Requirements:
Bachelor’s/Master’s degree in Computer Science or a related technical field; 2+ years of hands-on experience with Python; In-depth knowledge of Azure DevOps services, including Azure Pipelines, Azure Machine Learning, Azure Artifacts, Azure Cloud, Azure Databricks, and other Azure platforms; 1-2 years of experience with designing, implementing, and maintaining CI/CD pipelines for Machine Learning; Experience with object-oriented/scripting languages (Python, Java, C++, etc.); Familiarity with networking concepts and distributed computing concepts
Text:
Azure MLOps Engineer Develop and maintain cloud based MLOps infrastructure using Azure Machine Learning; Automate and enhance development processes to improve code quality and release efficiency; Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production; Create and manage ETL/ELT pipelines for data ingestion from various sources; Implement and maintain monitoring tools for data pipelines and ML model performance; Integrate ML models into CI/CD pipelines, ensuring consistent versioning and testing; Contribute to the development of automated MLOps pipelines; Stay updated on the latest ML and MLOps tools and practices Bachelor’s/Master’s degree in Computer Science or a related technical field; 2+ years of hands-on experience with Python; In-depth knowledge of Azure DevOps services, including Azure Pipelines, Azure Machine Learning, Azure Artifacts, Azure Cloud, Azure Databricks, and other Azure platforms; 1-2 years of experience with designing, implementing, and maintaining CI/CD pipelines for Machine Learning; Experience with object-oriented/scripting languages (Python, Java, C++, etc.); Familiarity with networking concepts and distributed computing concepts
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