Engineer – MLOps

About the Role

Streamline ML model transitions from development to production with focus on automation, monitoring, and scalability across credit risk and analytics models.

Responsibilities

• Deploy production ML models as scalable APIs or batch services
• Implement automated CI/CD pipelines for model versioning
• Monitor model performance, data drift, and prediction latency
• Collaborate with data scientists on production-grade code
• Maintain model governance and version control standards

Requirements

• 2+ years in MLOps, ML Engineering, or DevOps roles
• GCP cloud platform experience
• Bachelor's degree in Computer Science or IT
• Finance domain experience preferred

Skills

`MLflow` · `Kubeflow` · `DVC` · `Vertex AI` · `BentoML` · `TFServing` · `TorchServe` · `Python` · `GCP` · `Docker` · `Kubernetes` · `Terraform` · `GitHub Actions`

How to apply

Or apply online: https://itpro.lk/job/13751/