AI-OPS Team Member
4 days ago
AI-OPS Team Member | IT Infrastructure
We are seeking a
skilled and motivated AI-OPS Team Member
to join our
IT Infrastructure – Tools & Collaboration department
.
This is an exciting opportunity to be part of a
newly established AI-OPS team
, responsible for centralizing and optimizing the management of our organization's AI-related infrastructure across all environments.
About the Role
As an AI-OPS Team Member, you will play a key role in managing and maintaining our AI infrastructure—both on-premise and in the cloud. You will ensure the
availability, performance, scalability, and security
of AI platforms, tools, and hardware resources that support our enterprise AI initiatives.
Key Responsibilities
- Operate and maintain AI infrastructure with a focus on stability, performance, and scalability.
- Deploy, configure, and troubleshoot AI platforms, containerized environments, and GPU-based workloads.
- Monitor and optimize resource utilization (CPU, GPU, memory, storage, network).
- Contribute to CI/CD processes and implement automation using Infrastructure as Code (IaC).
- Manage security, access controls, and compliance across AI systems.
- Collaborate with AI Platform Engineers and AI Security Engineers to resolve incidents and improve reliability.
- Maintain documentation, runbooks, and operational best practices.
- Continuously identify opportunities to improve efficiency and cost-effectiveness in AI infrastructure management.
Required Qualifications
- Proven experience in
IT infrastructure operations and management
. - Hands-on experience with
AI/ML platforms
(e.g., MLflow, Kubeflow). - Proficiency in
CI/CD pipelines
(Jenkins, GitLab CI, GitHub Actions). - Strong knowledge of
cloud infrastructure
(Azure preferred, AWS or GCP). - Expertise in
Docker and Kubernetes
, especially for AI workloads. - Experience with
GPU management and optimization
. - Proficiency in
Infrastructure as Code
(Terraform, Ansible). - Solid
Linux administration
skills. - Familiarity with
Prometheus, Grafana
, and similar monitoring tools. - Scripting ability in
Python and Bash
. - Strong understanding of networking, distributed systems, and infrastructure security.
- Experience managing or deploying
vector databases
. - Familiarity with
AI infrastructure vendor solutions
. - Experience in
infrastructure centralization projects
. - Relevant
cloud or container certifications
.
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