DevOps Engineer
4 hours ago
AI-Ops Team Member
Job Description:
We are looking for an
AI-Ops Team Member
to join an innovative technology team responsible for managing, operating, and optimizing the organization's AI infrastructure.
This role combines hands-on work with cloud environments, DevOps, and machine learning systems, ensuring high availability, performance, and security across both on-premise and cloud-based environments.
Key Responsibilities:
- Manage and operate AI and ML infrastructure to ensure optimal performance and scalability.
- Implement and maintain advanced tools and platforms (Kubernetes, MLflow, Kubeflow, GPU orchestration).
- Work with CI/CD pipelines and automation processes (Jenkins, GitLab CI, Infrastructure as Code).
- Monitor and optimize system performance using Prometheus, Grafana, and similar tools.
- Manage access control, troubleshoot issues, and drive continuous process improvements.
- Collaborate closely with platform, security, and vendor teams to ensure smooth operations.
Requirements:
- Proven experience in IT infrastructure or DevOps operations.
- Hands-on experience with cloud platforms (preferably
Azure
, also AWS or GCP). - Strong knowledge of Docker, Kubernetes, and Linux.
- Familiarity with IaC tools (Terraform, Ansible) and scripting languages (Python, Bash).
- Experience with GPU-based workloads and AI/ML systems – an advantage.
- Excellent problem-solving skills, analytical mindset, and ability to work independently.
Nice to Have:
- Experience with vector databases or advanced AI data solutions.
- Cloud or Kubernetes professional certifications.
Personal Skills:
- Fast learner with a proactive approach and strong technical curiosity.
- Excellent collaboration and communication skills in cross-functional teams.
- Strong organizational abilities and attention to detail.
-
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