G
AI DevOps Engineer
G
- Posted 11 days ago
- Be among the first 10 applicants
Job Description
Job Responsibilities
- Own the deployment of the AI platform into production across cloud GPU infrastructure, managed services, and future on-premise or self-hosted environments, maintaining stability, scalability, and the flexibility to adapt as business needs evolve.
- Build and maintain CI/CD pipelines, monitor system performance, respond to incidents, uphold SLAs, and drive cost and security optimization across all environments.
- Skilled in cloud platforms (e.g., AWS, Azure) and containerization (e.g., Kubernetes), with the ability to deploy across both cloud and on-premise setups and select the best-fit solution based on business needs.
- Proven experience operating AI platforms or large-scale systems, including support for multi-region and multi-environment deployments.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Proven experience in DevOps engineering, with a focus on AI/ML workflows and infrastructure.
- Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud, including experience with cloud-native services.
- Hands-on experience with containerization and orchestration tools like Docker and Kubernetes.
- Proficiency in scripting and programming languages such as Python, Bash, or Go.
- Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
- Familiarity with AI/ML frameworks and tools such as TensorFlow, PyTorch, or Scikit-learn.
- Strong understanding of networking, security, and system administration principles.
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
- Strong communication skills to effectively collaborate with cross-functional teams.
More Info
Key Skills
About Company
Skills:
Bash, Google Cloud, Tensorflow, Jenkins, Pytorch, Docker, Azure, Python, Kubernetes, AWS, Scikit-learn, Go, CircleCI
Skills:
Java, Cloudformation, Datadog, Gcp, Terraform, Ansible, Python, Kubernetes, AWS, Continuous Deployment patterns, CI tools, Go, AI Coding Tools, Elastic, GitHub Actions, GitOps workflows
Skills:
Elk, Prometheus, Dns, Grafana, Terraform, Docker, Flask, Python, AWS, Gcp, Linux, Ansible, Databricks, FastAPI, Helm, Azure, Kubernetes, Cloudwatch, Shell Scripting, Tekton, GitOps, Nest.js, GitHub Actions, OpenTelemetry, Next.js, MLFlow, SageMaker, ArgoCD