Smartnumbers

Machine Learning Engineer

• You will be part of a cross-functional team, working across a variety of tasks from data science research and model development through to platform implementation and maintenance.
• You will use your knowledge of machine learning algorithms, frameworks, and methodologies to research and develop models for our cloud-based authentication and fraud systems.
• Explore and visualise data to discover innovative features and potential data sources.
• Engineer datasets, develop data pipelines, perform feature engineering, and write code to train, deploy, monitor, and run real-time inferences.
• Build and monitor ML models, addressing issues such as overfitting, underfitting, data leakage, and drift.
• Use your expertise in engineering and DevOps/MLOps to manage our machine learning platforms using AWS SageMaker and other AWS services.
• Design, build, and improve scalable public cloud-based machine learning platforms.
• Develop robust data pipelines and workflows, contributing to platform reliability, scalability, and observability through effective monitoring, alerting, and performance tuning.