Principal Machine Learning Engineer
6 days ago
Description
• Sezzle is a leading financial technology company offering flexible payment options. • Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS. • Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features. • Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models. • Support Cross-Departmental AI Utilization: Enable various departments to leverage AI/ML models. • Provide Production Support: Offer expertise in debugging and resolving issues related to ML models. • Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth. • Mentor and Elevate Team Skills: Conduct code reviews and mentor team members. • Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies.
Requirements
• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience. • At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
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