Machine Learning Ops Engineer

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Machine Learning Ops Engineer is the one who’s responsible for managing and optimizing the deployment and operation of machine learning models in production environments. He/she works closely with data scientists, software engineers, and DevOps teams to ensure that machine learning models are integrated seamlessly into existing systems and can scale effectively.

Role & Responsibilities –
➢ Responsible for design and implementation of secure and scalable infrastructure in Azure cloud.
➢ Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects.
➢ Own and automate the infrastructure provisioning, demand forecasting and capacity planning.
➢ Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability.
➢ Setting up the alerts and monitoring for the platform.
➢ Monitoring system, application health, security controls...