Machine Learning Operations (ML Ops) Engineer

Build, deploy, and maintain scalable machine learning models in production environments. Develop ML pipelines, automate model training, testing, deployment, and monitoring processes. Implement CI/CD practices for machine learning workflows and cloud-based ML platforms. Monitor model performance, data quality, and resolve production issues. Collaborate with data scientists, engineers, and DevOps teams to operationalize AI solutions.