Machine Learning Ops Engineer (Saudi Arabia)

Eram Talent is actively seeking a skilled ML Ops Engineer to join our client in Saudi Arabia. In this role, you will bridge the gap between machine learning model development and operational deployment, ensuring that models are effectively integrated into production systems and can scale seamlessly. You will work closely with data scientists, software engineers, and operations teams to streamline the lifecycle of machine learning projects, from development through to deployment, monitoring, and maintenance.

• Design and implement ML pipelines that automate model training, validation, deployment, and monitoring.
• Manage and optimize the infrastructure and tools used in ML projects, ensuring scalability and efficiency.
• Collaborate with data scientists to understand model requirements and translate them into production-ready solutions.
• Monitor the performance of deployed models and initiate retraining processes when necessary.
• Implement continuous integration and continuous deployment (CI/CD) methodologies to enhance model deployment and versioning.
• Support the operationalization of ML models in cloud environments, emphasizing robust architecture and security best practices.
• Document processes and provide training to team members on ML Ops best practices.