Sezzle is seeking a Senior AI Engineer to design and implement scalable machine learning models that enhance their financial platform. The ideal candidate will have at least six years of experience in machine learning engineering, with a strong emphasis on AWS and MLOps, while embodying a high standard of excellence and innovation
Job Summary
Oversee the design, development, and deployment of machine learning models that power and enhance our financial platform.
Drive the creation of scalable machine learning solutions for personalized recommendations, fraud detection, and credit risk assessment.
Blend machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models.
Matching Summary
Match Score: 85
Sezzle is seeking a Senior AI Engineer to design and implement scalable machine learning models that enhance their financial platform. The ideal candidate will have at least six years of experience in machine learning engineering, with a strong emphasis on AWS and MLOps, while embodying a high standard of excellence and innovation.
Salary
$50,000 - $120,000 per year (Gross in USD)
Skills & Requirements
Must-have
Scalable ML Infrastructure on AWS
MLOps for ML model lifecycle
Python proficiency
AWS Sagemaker
Monitoring and alerting systems for ML models
Generative AI solutions
Nice-to-have
High IQ plus high EQ
Pushing boundaries in tech
Game-changing experience
Golang experience
Kubernetes and Docker knowledge
Apache Spark and Kafka experience
Key Requirements
6+ years of experience in machine learning engineering
Bachelor's degree in CS, ML, Statistics, Physics, or equivalent practical experience