Machine Learning Operation Engineer Ai
Kuala Lumpur, M14, MY, Malaysia
Job Description
We are ooking for a sharp, cloud-savvy
MLOps Engineer
to help deploy, scale, and monitor machine learning models in production--acrosscloud and edge environments
.What You'll Do:
Deploy & scale ML models using Docker, Kubernetes, and cloud tools (AWS/GCP/Azure) Build robust APIs, data pipelines, and real-time model services Manage CI/CD, model versioning, and edge deployment (ONNX, NCNN, quantization) Monitor performance with Prometheus, Grafana, and ELK stack Work closely with data scientists & engineers to automate and streamline ML workflows
Tech Stack:
Python (FastAPI, Flask)
Docker & K8s
SQL & NoSQLPrometheus & Grafana
ONNX, NCNNMLflow
GitHub ActionsYou'll Need:
2+ years in cloud-based infrastructure (AWS/GCP/Azure) Strong Python & API skills Experience with MLOps tools, model deployment, and edge inference
Job Type: Full-time
Pay: From RM8,000.00 per month
Benefits:
Health insurance Opportunities for promotion Professional development
Application Question(s):
When can you start work? How much is your expected salary?
Experience:
MLOps Engineer: 2 years (Preferred)
Work Location: In person
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Job Detail
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Job IdJD1250111
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationKuala Lumpur, M14, MY, Malaysia
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EducationNot mentioned