ML Ops/Risk Decision Scientist at Renmoney

Job Description

We are currently hiring for a mixed role that is 70/30% ML Ops/Risk Data Scientist. Join us, and you will contribute to building our decision and risk engine.

• Oversee and deploy ML pipelines, from development to production.
• Administer CI/CD pipelines, ensuring tests succeed and artifacts are properly stored.
• Monitor model performance metrics and set up alert systems for anomalies.
• Develop credit, fraud scoring and other predictive models.
• Engage with stakeholders to understand requirements and manage expectations.
• Document processes, and share knowledge and expertise.
• Manage project planning, execution, and progress tracking.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proficiency in Python, SQL, and database management.
• Experience with Docker and deploying applications on cloud platforms such as AWS.
• Strong experience with CI/CD pipelines, automated testing, and deployment.
• Ability to use effectively monitoring tools and establish responsive alert systems.
• Robust documentation skills to clearly record processes and optimizations.
• Familiarity with SageMaker and other AWS services would be a significant advantage.