Principal Machine Learning Engineer

Sezzle is a leading financial technology company dedicated to empowering consumers by offering flexible payment options and innovative shopping experiences. Our "buy now, pay later" platform enables millions of customers to make responsible purchases, manage payments, while driving growth for thousands of merchants.
Machine Learning
Principal Software Engineer
Remote
6+ years of experience
Finance · AI

Description For Principal Machine Learning Engineer

Sezzle is seeking a highly-experienced Principal Machine Learning Engineer to join their core AI/ML team. This remote position is for candidates based in Canada. The role involves overseeing the design, development, and deployment of machine learning models that power and enhance Sezzle's financial platform. Key responsibilities include:

  1. Designing and building scalable ML infrastructure on AWS
  2. Collaborating with product teams to develop MVPs for AI-driven features
  3. Developing monitoring and alerting frameworks for ML models
  4. Supporting cross-departmental AI utilization
  5. Providing production support and participating in on-call rotations
  6. Scaling ML architecture to support rapid user growth
  7. Mentoring team members and elevating overall team capabilities
  8. Staying updated with the latest advancements in ML technologies and AWS services

The ideal candidate should have:

  • Bachelor's degree in a relevant technical field or equivalent practical experience
  • At least 6+ years of experience in machine learning engineering
  • Deep expertise in areas such as machine learning, recommendation systems, pattern recognition, or related fields
  • Proficiency in Python (Golang is a plus)
  • Strong familiarity with AWS cloud services
  • Experience with Kubernetes, Docker, and CI/CD pipelines
  • Knowledge of monitoring tools and data processing frameworks

Sezzle offers a dynamic work environment that values innovation, high standards, and a commitment to delivering results. They are an equal opportunity employer committed to diversity and inclusion.

Last updated a month ago

Responsibilities For Principal Machine Learning Engineer

  • Design and develop scalable machine learning infrastructure on AWS
  • Collaborate with product teams to develop MVPs for AI-driven features
  • Create and enhance monitoring and alerting systems for machine learning models
  • Enable various departments to leverage AI/ML models, including Generative AI solutions
  • Offer expertise in debugging and resolving issues related to ML models in production
  • Design and scale machine learning architecture to support rapid user growth
  • Conduct code reviews and mentor team members
  • Stay updated with the latest advancements in machine learning technologies and AWS services

Requirements For Principal Machine Learning Engineer

Python
Kubernetes
  • 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
  • Deep expertise in machine learning, recommendation systems, pattern recognition, data mining, or related fields
  • Proficiency with Python (Golang is a plus)
  • Strong familiarity with AWS cloud services
  • Experience with Kubernetes, Docker, and CI/CD pipelines
  • Knowledge of monitoring and observability tools for machine learning models
  • Solid foundation in data processing and pipeline frameworks

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