About this role
As a DevOps professional in our team, you will play a pivotal role in designing, implementing, and managing the infrastructure and deployment pipelines that support our AI-driven applications. You will work closely with data scientists, AI researchers, and software engineers to ensure seamless integration and optimal performance of AI solutions.
Educational Qualifications
• Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.
Work Experience
• 1-3 Years of Work Experience
• Strong expertise in Azure AI Studio and developing AI solutions on the Azure platform.
• Experience with Google Cloud Platform (GCP) in deploying and managing AI solutions.
• Proven experience as a DevOps Engineer, preferably within AI or machine learning environments.
Skills
• Proficiency with cloud services, including compute, storage, networking, and AI/ML tools on Azure and GCP.
• Hands-on experience with CI/CD tools such as Azure DevOps or GitHub Actions or Jenkins.
• Familiarity with containerization and orchestration technologies like Docker and Kubernetes.
• Knowledge of infrastructure as code (IaC) tools such as Terraform or Azure Resource Manager.