Bogota, Colombia The salary range for this role is$50,000 - $85,000 per year (Gross in USD) About Sezzle: With amission to financially empower the next generation, Sezzle isrevolutionizing the shopping experience beyond payments, blendingcutting-edge tech with seamless, interest-free installment plansthat make shopping smarter and more accessible. We’re not justtransforming payments; we’re redefining how people discover,interact with, and purchase the things they love while driving realimpact on merchant sales through increased conversions and higherorder values. As we continue to shape the future of fintech andretail, we’re building an innovative, dynamic team passionate aboutcreating more than just a transaction but a truly unique shoppingjourney. If you’re excited about pushing boundaries in tech anddelivering a game-changing experience for consumers and merchantsalike, come join us at Sezzle and help create the future ofshopping! About the Role: We are seeking a talented and motivated Principal Machine Learning Engineer who is best in class with ahigh IQ plus a high EQ. This role presents an exciting opportunityto thrive in a dynamic, fast-paced environment within a rapidlygrowing team, with abundant prospects for career advancement. Youwill be responsible for overseeing the design, development, anddeployment of machine learning models that power and enhance ourfinancial platform. In this role, you will drive the creation ofscalable machine learning solutions for personalizedrecommendations in the Sezzle marketplace, fraud detection, andcredit risk assessment, utilizing a combination of cloud services,open-source tools, and proprietary algorithms. Your leadership willbe key in blending machine learning development and operations(MLOps) to automate and optimize the full lifecycle of our MLmodels. You will collaborate with a team of engineers and datascientists to build large-scale, high-quality solutions thataddress diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, andscalable as we continue to grow. Responsibilities: 1. Design,Build, and Maintain Scalable ML Infrastructure: Lead the design anddevelopment of scalable machine learning infrastructure on AWS,utilizing services like AWS Sagemaker for efficient model trainingand deployment. 2. Collaborate with Product Teams: Work closelywith product teams to develop MVPs for AI-driven features, ensuringquick iterations and market testing to refine solutionseffectively. 3. Develop Monitoring & Alerting Frameworks:Create and enhance monitoring and alerting systems for machinelearning models to ensure high performance, reliability, andminimal downtime. 4. Support Cross-Departmental AI Utilization:Enable various departments within the organization to leverageAI/ML models, including cutting-edge Generative AI solutions, fordifferent use cases. 5. Provide Production Support: Offer expertisein debugging and resolving issues related to machine learningmodels in production, participating in on-call rotations foroperational troubleshooting and incident resolution. 6. Scale MLArchitecture: Design and scale machine learning architecture tosupport rapid user growth, leveraging deep knowledge of AWS and MLbest practices to ensure robustness and efficiency. 7. Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, andelevate overall team capabilities through knowledge sharing andcollaboration. 8. Stay Ahead of the Curve: Stay updated with thelatest advancements in machine learning technologies and AWSservices, driving the adoption of cutting-edge solutions tomaintain a competitive edge. Minimum Qualifications: - Bachelor'sdegree in Computer Science, Computer Engineering, Machine Learning,Statistics, Physics, or a relevant technical field, or equivalentpractical experience. - At least 6+ years of experience in machinelearning engineering, with demonstrated success in deployingscalable 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, datamining, artificial intelligence, or related technical fields. -Proven track record of developing machine learning models frominception to business impact, demonstrating the ability to solvecomplex challenges with innovative solutions. - Proficiency with Python is required, and experience with Golang is a plus. -Demonstrated technical leadership in guiding teams, owningend-to-end projects, and setting the technical direction to achieveproject goals efficiently. - Experience working with relationaldatabases, data warehouses, and using SQL to explore them. - Strongfamiliarity with AWS cloud services, especially in deploying andmanaging machine learning solutions and scaling them in acost-effective manner. - Knowledgeable in Kubernetes, Docker, andCI/CD pipelines for efficient deployment and management of MLmodels. - Comfortable with monitoring and observability toolstailored for machine learning models (e.g., Prometheus, Grafana,AWS CloudWatch) and experienced in developing recommender systemsor enhancing user experiences through personalized recommendations. - Solid foundation in data processing and pipeline frameworks(e.g., Apache Spark, Kafka) for handling real-time data streams. About You: - You have relentlessly high standards - many people maythink your standards are unreasonably high. You are continuallyraising the bar and driving those around you to deliver greatresults. You make sure that defects do not get sent down the lineand that problems are fixed so they stay fixed. - You’re not boundby convention - your success—and much of the fun—lies in developingnew ways to do things. - You need action - speed matters inbusiness. Many decisions and actions are reversible and do not needextensive study. We value calculated risk-taking. - You earn trust - you listen attentively, speak candidly, and treat othersrespectfully. What Makes Working at Sezzle Awesome: At Sezzle, weare more than just brilliant engineers, passionate dataenthusiasts, out-of-the-box thinkers, and determined innovators. Webelieve in surrounding ourselves with only the best and thebrightest individuals. Our culture is not defined by a certain setof perks designed to give the illusion of the traditional startupculture, but rather, it is the visible example living in everyemployee that we hire. Apply for this job * indicates a requiredfield #J-18808-Ljbffr Engineering