DevOps with MLOPs

Familiarity with provisioning, configuring, and managing resources in Microsoft Azure
. AWS knowledge is a benefit
. Azure knowledge must
. Expertise in GitLab CI/CD for continuous delivery and continuous integration
. Good knowledge of shell scripting.
. Develop and maintain IaC scripts using tools such as Terraform.
. Must have a knowledge of docker and Kubernetes
. Expertise to maintain cloud security
. Cost optimization
. More focused on Automation
. Good technical skills in fundamental design principles
. Good problem solving and analytical skills Experience with Agile, Scrum/ Kanban software development methodologies
. Strong understanding of concepts related to Machine Learning, Architecture, and MLOps practices.
. Proficient in Azure Cloud practices and managing Azure Kubernetes Service infrastructure.
. Hands on experience in Python or any other scripting languages (Groovy, Shell)
. Experience with monitoring tools.
. Hands-on experience in Docker, Kubernetes.
. Excellent experience with source code management tools (git)
. Experience with modern cloud development practices such as Microservices Architecture, REST Interfaces etc.
. Experience in implementing Data/Model drift.
. Strive for Continuous Improvement and build continuous integration, continuous development, and constant deployment pipeline.
. Excellent Troubleshooting skills
. Always ready to learn more and adopt new cutting-edge technology with right value proposition.