ML Ops Engineer - CGI - Pune

https://www.cgi.com/en/about-us

ML Ops

Position Description

• 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 project.
• 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 and cost. Envision, implement and rollout best MLOPs/DevOps tools and automation.
  

Requirements:

• 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.

PLEASE NOTE: Due to business criticality, we are looking for candidates who are IMMEDIATELY AVAILABLE or can join within 30 days at the most !!