Machine Learning Engineer (Model Deployment/MLOps) (CPT Hybrid/Remote)

As a Machine Learning Engineer with a focus on MLOps, you'll be part of a team that is revolutionizing the lending process through advanced machine learning models. Your primary responsibility will be to deploy these models effectively, ensuring they operate seamlessly in a production environment without human intervention. This role is crucial for enhancing the speed and accuracy of lending decisions, making it an exciting opportunity for those passionate about technology and finance.

In your day-to-day work, you will collaborate with data scientists and software engineers to understand model requirements and deployment strategies. You will also be responsible for monitoring model performance and making necessary adjustments to optimize outcomes. Your role will involve:

• Deploying machine learning models into production
• Implementing MLOps practices to streamline workflows
• Collaborating with cross-functional teams to ensure model effectiveness
• Monitoring and maintaining model performance post-deployment

This position is ideal for someone with a strong background in machine learning and a keen interest in operationalizing models. You should be comfortable working in a hybrid environment, balancing remote work with in-office collaboration. If you have experience with cloud services and containerization, it will be an added advantage. Join us and help shape the future of lending through technology.