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Sr. AI engineer

4 hours, 6 minutes ago
Brazil
Full-time
Senior
AI Engineer
Software Development
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 147

Description

  • Design, build, and maintain scalable machine learning infrastructure on AWS, including SageMaker-based training and deployment workflows.
  • Collaborate with product teams to develop MVPs for AI-driven features and iterate based on market testing.
  • Develop monitoring and alerting frameworks for machine learning models to improve reliability and reduce downtime.
  • Enable cross-departmental use of AI and machine learning solutions, including generative AI applications.
  • Provide production support by debugging and resolving issues in deployed machine learning systems and participating in on-call rotations.
  • Scale machine learning architecture to support rapid user growth while maintaining robustness and efficiency.
  • Conduct code reviews, mentor team members, and help raise the technical capability of the team.
  • Stay current on machine learning and AWS advancements and help adopt new tools and approaches.

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 of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
  • Proficiency with Python is required; Golang experience is a plus.
  • Demonstrated technical leadership, including guiding teams, owning end-to-end projects, and setting technical direction.
  • Experience with relational databases, data warehouses, and SQL.
  • Strong familiarity with AWS cloud services for deploying, managing, and scaling machine learning solutions cost-effectively.
  • Knowledge of Kubernetes, Docker, and CI/CD pipelines for ML deployment and operations.
  • Experience with monitoring and observability tools such as Prometheus, Grafana, or AWS CloudWatch, and with recommender systems or personalized recommendations.
  • Solid foundation in data processing and pipeline frameworks such as Apache Spark and Kafka for real-time data streams.

Benefits

  • Salary range of $50,000 to $120,000 per year gross in USD.
  • Full-time remote position.
  • Opportunity to work on a rapidly growing fintech and shopping platform.
  • Career advancement opportunities within a fast-paced, dynamic team.
  • Chance to work on high-impact AI applications spanning recommendations, fraud detection, and credit risk.
  • Collaborative environment with engineers and data scientists.

Interested in this position?

Apply directly on the company website

Apply Now

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