MLOps Engineer — AI Infrastructure
Dot App Tech
Date: 2 weeks ago
City: Remote
Contract type: Full time
Remote
Open now★Featured
MLOps Engineer — AI Infrastructure
AmalAxis Lahore, PKMid-levelOn-site
PKR 400k–600k/moDevOps / MLOps 0 applicants Closes 5/21/2026
+2400 XP on hire
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Free DotApp account unlocks your personal match score, prerequisite tracking, and one-click apply.
Skills & tags
PythonPyTorchKubernetesAWS SageMakerMLOps
About This Role
Own the deployment, monitoring, and reliability of our internal AI/ML systems. You will partner with the Data Science team to ship models from notebooks to production, run experiment-tracking infrastructure, and design CI/CD pipelines that survive the chaos of real customers.
Responsibilities
3+ years of Python in production. Comfortable with Docker + Kubernetes. Has shipped at least one ML model to live traffic.
MLOps Engineer — AI Infrastructure
AmalAxis Lahore, PKMid-levelOn-site
PKR 400k–600k/moDevOps / MLOps 0 applicants Closes 5/21/2026
+2400 XP on hire
Sign in to apply →Create a free account
Free DotApp account unlocks your personal match score, prerequisite tracking, and one-click apply.
Skills & tags
PythonPyTorchKubernetesAWS SageMakerMLOps
About This Role
Own the deployment, monitoring, and reliability of our internal AI/ML systems. You will partner with the Data Science team to ship models from notebooks to production, run experiment-tracking infrastructure, and design CI/CD pipelines that survive the chaos of real customers.
Responsibilities
- Build and maintain MLOps pipelines (training, evaluation, deployment) - Manage GPU clusters and model serving infrastructure (Kubernetes, AWS SageMaker) - Set up monitoring + drift detection on production models - Mentor data scientists on production-readiness
3+ years of Python in production. Comfortable with Docker + Kubernetes. Has shipped at least one ML model to live traffic.
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