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Sr. AI Engineer - Marketing

1 hour, 59 minutes ago
Latin America
Full-time
Senior
AI Engineer
Artificial Intelligence and Machine Learning
Apache Spark AWS CI/CD Docker Generative AI Go Grafana Kafka Kubernetes Machine Learning MLOps Prometheus Python SageMaker SQL
Apply Now
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
View All Jobs 165

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 MVPs for AI-driven features and iterate quickly based on testing and feedback.
  • Develop and improve monitoring and alerting systems for machine learning models to maintain performance, reliability, and uptime.
  • Enable cross-functional teams to use AI and generative AI solutions for a variety of business use cases.
  • Support production ML systems by debugging issues, resolving incidents, and participating in on-call rotations.
  • Design and scale machine learning architecture to support rapid user growth with robust and efficient systems.
  • Conduct code reviews, mentor team members, and share knowledge to strengthen overall team capability.
  • 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.
  • Demonstrated success deploying scalable machine learning 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 with relational databases, data warehouses, and SQL.
  • Strong familiarity with AWS cloud services for deploying, managing, and scaling ML solutions cost-effectively.
  • Knowledge of Kubernetes, Docker, and CI/CD pipelines for ML deployment and management.
  • Experience with monitoring and observability tools such as Prometheus, Grafana, or AWS CloudWatch, and with recommender systems or personalized recommendation features.
  • Solid foundation in data processing and pipeline frameworks such as Apache Spark or Kafka.
  • Proven technical leadership in guiding teams, owning end-to-end projects, and setting technical direction.

Benefits

  • Salary range of $50,000 - $120,000 per year (gross in USD).
  • Remote, full-time role.
  • Opportunity for career advancement in a rapidly growing team.
  • Work on cutting-edge AI, machine learning, and generative AI solutions in fintech and retail.
  • Collaborative environment with engineers and data scientists on large-scale systems.

Interested in this position?

Apply directly on the company website

Apply Now

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