Job Description
Role purpose: Maintain, Migrate, Deploy ML Models in the Google Cloud environment based on the business requirements along with ML Model validation (Code + Data validation). Develop CI/CD pipelines to deploy ML models.
Outputs described below
• Design, implement and maintain robust CI/CD pipelines to automate software delivery process.
• Deploy and manage containers using Docker, Kubernetes.
• Create and maintain Terraform YAML files for defining infrastructure as a code.
• Develop and manage Helm charts for Kubernetes deployments.
• Efficiently manage GitHub repositories ensuring version control best practices are followed.
• Collaborate with development and operation teams to troubleshoot and optimize deployment processes.
• Stay updated on industry best practices and emerging DevOps trends.
• Actively monitor and identify issues in existing pipelines.
• Have experience working with data Engineering team.
Essential
• GCP Platform Engineer
• Exposure to multiple tools & services of Google Cloud platform is required.
• Excellent communication with different stakeholders (business, technical, project)
• Good understanding of the overall Big Data and Data Engineering ecosystem
• Hands-on with python or shell scripting.
• Relevant work experience (5-9) years
• Experience with building and deploying containers as services using Swarm/Kubernetes
• Understanding modern DevOps pipelines
• Experience working in agile projects
Desired
• Telecommunication experience
• Experience working with Data Engineering & Analytics
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India:
VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related m