MLOps Engineer - Inperson Interview

Responsibilities: Deploy and maintain machine learning models in development and production environments. Build and maintain CI/CD pipelines for ML applications. Work with Git, Docker, Kubernetes , and cloud platforms such as AWS/Azure/Google Cloud Platform. Automate model training, testing, deployment, and monitoring workflows. Monitor model performance, application logs, and infrastructure. Manage ML pipelines and datasets. Collaborate with data scientists, ML engineers, and software develope…