MLOps Engineer (BFSI) - MLEBAS

The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. This role focuses on building ML deployment pipelines, implementing CI/CD for ML workloads, and automating model retraining and validation. The position requires prior experience in BFSI (Banking, Financial Services, and Insurance) to support regulated AI/ML environments.

• Build ML deployment pipelines. Implement CI/CD for machine learning workloads. Automate model retraining and validation. Establish model monitoring and observability. Manage ML infrastructure and environments. Ensure compliance and governance requirements.

• Bachelor's degree in Computer Science or related field. 5+ years of MLOps or ML Engineering experience. Must have prior BFSI experience supporting regulated AI/ML environments, model governance, risk management, fraud analytics, or financial decisioning systems. Skills: MLOps, MLflow, Kubeflow, Docker, Kubernetes, Python, GitHub Actions, Azure DevOps, Terraform, Monitoring Tools.