Sr. Azure MLOps Engineer

Must have -

•  5 Plus years of Strong expertise in Azure Machine Learning Service (AMLS), Kubernetes (AKS), and MLOps practices.
•  Hands-on experience in automating ML pipelines, including CI/CD integration and model lifecycle management.
•  Proficiency in programming languages like Python and familiarity with Spark and PySpark for data processing.
•  Solid understanding of Azure Synapse, Azure Data Factory, and resource optimization techniques.
•  Experience in monitoring and troubleshooting production ML environments with zero downtime.
•  Strong problem-solving skills, compliance knowledge (Safe Secret), and the ability to work across cross-functional teams.
•  Familiarity with GPT model integration and AI research initiatives.
•  Knowledge of containerization and microservices architecture for scalable ML solutions.
•  Experience in cost-saving strategies and optimizing cloud infrastructure.
•  Understanding of cloud-native deployment using DevOps tools such as Azure DevOps, Git, and CI/CD pipelines.
•  Strong knowledge of PowerShell for scripting and automation.
•  Experience with DevOps practices, including tools like PowerShell , and CI/CD pipelines