Principal Machine Learning Engineer (Brazil)The salary range for this role is $50,000 - $120,000 per year (Gross in USD)About Sezzle:With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible.About the Role:We are seeking a talented and motivated Principal Machine Learning Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment.Responsibilities: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 within the organization to leverage AI/ML models.Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production.Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth.Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities.Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies.Minimum Qualifications: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.Ideal Skills & Experience:Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.Proven track record of developing machine learning models from inception to business impact.Proficiency with Python is required, and experience with Golang is a plus.Demonstrated technical leadership in guiding teams and owning end-to-end projects.Experience working with relational databases, data warehouses, and using SQL.Strong familiarity with AWS cloud services.Knowledgeable in Kubernetes, Docker, and CI/CD pipelines.Comfortable with monitoring and observability tools tailored for machine learning models.Solid foundation in data processing and pipeline frameworks.What Makes Working at Sezzle Awesome:At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, and determined innovators. Our culture is defined by the visible example living in every employee that we hire.Apply for this job
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