10 ene
Tbwa Chiat/Day
Ciudad de México
Mexico, Remote
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. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike,
come join us at Sezzle and help create the future of shopping!
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, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale,
high-quality solutions that address diverse challenges in the shopping and fintech space.
Responsibilities:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models for different use cases.
- Provide Production Support:
Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- 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 through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services.
Minimum 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.
Ideal Skills & Experience:
- Deep expertise in machine learning, recommendation systems, 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.
- Experience working with relational databases and using SQL.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions.
- 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.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things.
- You need action - speed matters in business.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we believe in surrounding ourselves with only the best and the brightest individuals.
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