Senior AI Engineer

🕒 July 1

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Sezzle

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

💳 Fintech

👥 B2C

🛍️ eCommerce

Fintech • B2C • eCommerce

Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.

📋 Description

• Oversee the design, development, and deployment of machine learning models for Sezzle’s financial platform. • Drive the creation of scalable machine learning solutions for personalized recommendations, fraud detection, and credit risk assessment. • Blend machine learning development and operations (MLOps) to optimize the full lifecycle of ML models. • Collaborate with engineers and data scientists on high-quality solutions addressing challenges in shopping and fintech. • Ensure AI-driven features are robust, efficient, and scalable as the company grows. • Design and scale machine learning architecture supporting rapid growth, leveraging AWS and ML best practices. • Conduct code reviews, mentor team members, and elevate team capabilities.

🎯 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. • Deep expertise in machine learning, recommendation systems, data mining, artificial intelligence or related technical fields. • Proficiency with Python, experience with Golang is a plus. • Demonstrated technical leadership in guiding teams and owning end-to-end projects. • Experience working with relational databases and using SQL to explore them. • Strong familiarity with AWS cloud services and machine learning solutions. • Knowledgeable in Kubernetes, Docker, and CI/CD pipelines.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development