DevOps Engineer, AI/ML Ops & Cloud Reliability
Digile's AI Practice in Kuala Lumpur is hiring a DevOps Engineer with an MLOps focus to own deployment, infrastructure, and reliability for AI workflows. The role sits in a shared engineering pool supporting Forward Deployed Engineer pods building production-grade, monitorable, and governable AI pipelines.
- Compensation
- Not disclosed
- Location
- Kuala Lumpur, Malaysia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Full description
Digile’s AI Practice seeks a DevOps Engineer with an MLOps focus to join the shared engineering pool supporting Forward Deployed Engineer pods that turn AI capabilities into production-grade workflows with measurable business impact.
The main duties include owning deployment, infrastructure and reliability for AI workflows, collaborating with Senior/Junior FDEs and AI Product Managers across pods to ensure deployable, monitorable and governable pipelines.