Engineer - MLOps

About the Role

Deploy and manage production-ready ML models as scalable APIs, implement CI/CD pipelines for model versioning, and monitor model performance in a finance-domain environment.

Responsibilities

• Deploy and manage production-ready ML models as scalable APIs or batch inference
• Implement automated CI/CD pipelines for model versioning
• Monitor model performance, data drift, and prediction latency
• Collaborate with data science teams on production-ready code
• Support experimental AI infrastructure and LLM deployments

Requirements

• Bachelor's degree in Computer Science, IT, or related field
• 2+ years in MLOps, ML Engineering, or DevOps
• Finance domain experience highly desirable

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/engineer-mlops-at-orysys-limited/