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 requires building ML deployment pipelines, implementing CI/CD for ML workloads, and ensuring compliance in regulated 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.
• Proficiency in MLOps, MLflow, Kubeflow, Docker, Kubernetes, Python, GitHub Actions, Azure DevOps, Terraform, and monitoring tools.