DevOps & MLOps Engineer — AI Platform & CI/CD
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Summary
This engineer designs and runs HTX's AI platform in Singapore, automating deployment of AI/ML workloads and building secure DevSecOps CI/CD pipelines. Day-to-day work centers on Linux, Python, Docker/Kubernetes, and MLOps tooling like Kubeflow, MLflow, RunAI, ArgoCD/FluxCD, and GitLab CI within agile sprints.
HTX (Home Team Science & Technology Agency) is seeking a DevOps & ML Engineer to develop our AI platform, automate the deployment of AI workloads, and build robust DevSecOps pipelines. You will design scalable ML infrastructure and automate CI/CD processes to ensure reliable, secure deployments.
Requirements include Linux, Python, Docker/Kubernetes, and experience with Kubeflow, MLflow, RunAI, ArgoCD/FluxCD, and GitLab CI. Collaboration in agile sprints and a keen focus on security are essential.