Machine Learning Operation Engineer
2 days ago
We are ooking for a sharp, cloud-savvy MLOps Engineer to help deploy, scale, and monitor machine learning models in production—across cloud 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 & NoSQL Prometheus & Grafana ONNX, NCNN MLflow GitHub Actions
You'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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