ML Ops Engineer
Constructor TECH, Singapore
What you will do
- Design and maintain CI/CD pipelines for ML models and services.
- Build and operate model deployment, serving, and rollback workflows.
- Implement monitoring, observability, and alerting for models in production.
- Manage the model lifecycle with MLflow: experiment tracking, versioning, registries, and reproducibility.
- Automate infrastructure and partner with ML and platform teams on standards.
What you need
Education
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field — or equivalent practical experience.
Qualifications & Experience
- 5+ years of MLOps or DevOps engineering experience.
- Strong with containers and orchestration (Docker, Kubernetes).
- Experience with CI/CD (GitLab CI) and infrastructure-as-code (Terraform or similar).
- Hands-on with a major cloud platform (Azure, AWS, or GCP).