Found Description
Job Role: MLOps Engineer
Job Location: Singapore
Experience: 8+ Years
Roles & Responsibilities- Design, build, and maintain scalable MLOps pipelines to support machine learning model development, deployment, and monitoring.
- Develop and manage data pipelines and infrastructure for data science, analytics, and AI/ML workloads.
- Collaborate with data scientists and engineering teams to validate use cases, test hypotheses, and operationalise machine learning solutions.
- Automate model training, deployment, versioning, monitoring, and lifecycle management using MLOps best practices.
- Ensure data pipelines and platform architecture support scalable, reliable, and reproducible ML workflows.
- Monitor ML models and data pipelines to optimise performance, reliability, and operational efficiency.
- Implement CI/CD practices, automation, and infrastructure-as-code for ML environmen...