Machine Learning, Operations Engineer - Dubai

• Deploying, monitoring, and maintaining machine learning models in multiple environments
• Ensure seamless integration & efficient operation of machine learning solutions infrastructure.

• Model Deployment and Monitoring Deploy machine learning models into production environments and implement robust monitoring solutions for performance and reliability.

• Infrastructure Management Work closely with DevOps and IT teams to maintain and enhance the infrastructure required for machine learning operations, leveraging cloud platforms and containerization technologies.

• Automation Develop and maintain automation scripts and tools for model deployment, scaling, and monitoring to streamline machine learning operations workflows.

• Collaboration Collaborate with data scientists, software engineers, and other stakeholders to understand model requirements, integration needs, and performance expectations.

• Troubleshooting Investigate and resolve issues related to machine learning model deployment, performance, and scalability in a timely manner.

• Security and Compliance Ensure machine learning operations adhere to security and compliance standards, implementing best practices for data privacy and model governance.

• Experience in deploying and maintaining machine learning models in production environments.
• Proficiency in cloud platforms
• Strong programming skills in languages Python
• Experience with relevant frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with containerization technologies (Docker, Kubernetes).
• Solid understanding of DevOps practices and tools.
• Experience with continuous integration and continuous deployment (CI/CD) pipelines.
• Knowledge of machine learning model serving platforms.

• Experience in data engineering and data pipeline concepts Preferred Qualification

Kingston Stanley