GPU AI/ML DevOps Engineer

Singtel Group; Singapore; On-site; SGD 70,000 - 100,000; Full time

Benefits offered by this job

Full suite of health and wellness benefits

Ongoing training and development programs

Internal mobility opportunities

Job summary

A leading telecommunications company in Singapore is looking for a DevOps Engineer to advance their GPU-as-a-Service (GPUaaS) initiatives. The ideal candidate will design, deploy, and support large-scale GPU clusters for AI and ML workloads, alongside managing CI/CD pipelines and monitoring solutions. Applicants should have a Bachelor's degree in a related field, experience with DevOps tools, and a strong understanding of AI frameworks and GPU architectures. This role offers a range of health benefits and ongoing training opportunities.

Qualifications

• Bachelor’s degree in Computer Science/Engineering or related field.
• Experience with DevOps tools and practices.
• Strong problem-solving skills in system optimization.
• Familiarity with AI frameworks and GPU architecture.

Responsibilities

• Design and support large-scale GPU clusters for AI and ML.
• Manage and automate GPU resource provisioning.
• Implement CI/CD pipelines for AI models.
• Monitor performance and availability of clusters.
• Conduct GPU cluster benchmarks and improve infrastructure.

Skills

DevOps tools (Jenkins, Kubernetes, Ansible, Terraform)

Scripting languages (Python, Bash)

AI frameworks (TensorFlow, PyTorch)

Strong communication skills

Technical problem solving

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Monitoring solutions (Zabbix, Prometheus)

HPC workload managers (Slurm)

Job description

A leading telecommunications company in Singapore is looking for a DevOps Engineer to advance their GPU-as-a-Service (GPUaaS) initiatives. The ideal candidate will design, deploy, and support large-scale GPU clusters for AI and ML workloads, alongside managing CI/CD pipelines and monitoring solutions. Applicants should have a Bachelor's degree in a related field, experience with DevOps tools, and a strong understanding of AI frameworks and GPU architectures. This role offers a range of health benefits and ongoing training opportunities.