An AI agent that applies to roles like this on employers' own sites. 25 applications free, no card needed.
Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.
Job Description
We are looking for a motivated and passionate AI DevOps Engineer with 1-3 years of experience to join our engineering team. The ideal candidate will help build, automate, and maintain scalable cloud and AI infrastructure while supporting deployment pipelines, containerized applications, and AI/ML workloads.
You will work closely with DevOps, Engineering, and AI teams to improve deployment efficiency, infrastructure reliability, and system scalability.
Responsibilities
- Assist in building and managing cloud infrastructure on AWS, Azure, or GCP.
- Develop and maintain CI/CD pipelines for application and AI model deployments.
- Work with Docker and Kubernetes for containerized deployments.
- Automate infrastructure provisioning using Terraform or similar IaC tools.
- Monitor infrastructure, applications, and deployment pipelines.
- Support AI/ML model deployment and MLOps workflows.
- Troubleshoot deployment, networking, and infrastructure-related issues.
- Ensure system reliability, scalability, and security best practices.
- Collaborate with engineering teams to improve automation and operational efficiency.
- Maintain documentation for infrastructure and deployment processes.
- 1-3 years of experience in DevOps, Cloud Engineering, or related roles.
- Basic to intermediate knowledge of AWS, Azure, or GCP.
- Hands-on experience with Docker and Kubernetes.
- Familiarity with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
- Knowledge of Terraform or Infrastructure as Code concepts.
- Understanding of Linux systems and shell scripting.
- Basic understanding of AI/ML deployment or MLOps concepts.
- Familiarity with monitoring tools like Grafana, Prometheus, or CloudWatch.
- Good problem-solving and troubleshooting skills.
- Strong willingness to learn AI infrastructure and cloud-native technologies.
- Exposure to AI/LLM platforms such as OpenAI, Bedrock, or Claude.
- Basic knowledge of Python scripting.
- Experience working with microservice architecture.
- Understanding of networking and cloud security fundamentals.
This job was posted by Dhanesh Sridhar from Zocket.
Skills
PythonCloud InfrastructureAi/mlAiMlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
Similar Jobs
View all
New Data Science Analytics & Machine Learning roles in Chennai.
One email a day. Unsubscribe any time.
