Sezzle

Sezzle

Sezzle is a payments company revolutionizing the buy now, pay later experience with interest-free installment plans, empowering consumers and merchants alike.

Diversified Financial Services
251-1K
Founded 2016

Description

  • Design, build, and maintain scalable machine learning infrastructure on AWS, including AWS SageMaker for model training and deployment.
  • Collaborate with product teams to develop and iterate on MVPs for AI-driven features.
  • Develop monitoring and alerting frameworks to maintain model performance, reliability, and uptime.
  • Enable different departments to use AI/ML models, including generative AI solutions, for business use cases.
  • Provide production support by debugging model issues, resolving incidents, and participating in on-call rotations.
  • Design and scale machine learning architecture to support rapid user growth and operational efficiency.
  • Conduct code reviews, mentor team members, and improve team capabilities through knowledge sharing.
  • Stay current on machine learning and AWS advancements and help drive adoption of new solutions.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a related technical field, or equivalent practical experience.
  • 6+ years of experience in machine learning engineering.
  • Proven success deploying scalable ML models in a production environment.
  • Deep expertise in one or more areas such as machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence.
  • Proficiency with Python is required.
  • Experience with Golang is a plus.
  • Experience working with relational databases, data warehouses, and SQL.
  • Strong familiarity with AWS cloud services, especially for deploying, managing, and scaling machine learning solutions cost-effectively.
  • Knowledge of Kubernetes, Docker, and CI/CD pipelines.
  • Experience with monitoring and observability tools such as Prometheus, Grafana, or AWS CloudWatch.
  • Experience developing recommender systems or personalized recommendation features.
  • Solid foundation in data processing and pipeline frameworks such as Apache Spark and Kafka.

Benefits

  • Salary range of $50,000 - $120,000 per year (gross in USD).
  • Remote full-time position.
  • Opportunity to work on a rapidly growing fintech and shopping platform.
  • Career advancement opportunities within a fast-paced team.

Interested in this position?

Apply directly on the company website

Apply Now

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