As an AI Cloud Engineer, you will play a critical role in delivering AI solutions on cloud platforms. You will work with cross-functional teams to design, deploy, and manage scalable, secure, and reliable cloud-based solutions
The successful candidate will be responsible for designing, deploying, and managing scalable, secure, and reliable cloud-based solutions on AWS/Azure. Key responsibilities include:
- Designing and deploying AI systems on cloud platforms
- Managing and operating scalable, highly available, and fault-tolerant AI systems
- Integrating cloud services with CI/CD pipelines
- Collaborating with cross-functional teams to deliver AI projects
- Ensuring cloud security best practices are followed
- Developing and deploying machine learning models in the cloud
- Experience in deploying, managing, and operating scalable AI systems on AWS/Azure
- Proven experience in GenAI cloud services
- Experience with Infrastructure as Code (IaC) tools like Terraform
- Strong knowledge of cloud architecture principles and best practices
- Proficiency in languages like Python, Java, and C#
- Experience with machine learning, data engineering, and cloud security
- Experience with container orchestration and management
- Knowledge of APIs and software development kits (SDKs)
- Skills in scripting and automation for cloud environments
- Experience with project management and collaboration with cross-functional teams
- Relevant certifications in cloud and AI technologies for Azure and AWS
- Experience with cloud-based data storage, processing, and management
- Familiarity with CI/CD pipelines and GitLab CI/CD