Machine Learning Architect
hace 6 días
About Sezzle:
We are revolutionizing the shopping experience beyond payments by blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible.
Our mission is to financially empower the next generation, driving real impact on merchant sales through increased conversions and higher order values.
About the Role:
We are seeking a highly skilled Principal Machine Learning Engineer who will oversee the design, development, and deployment of machine learning models that power and enhance our financial platform.
You will be responsible for creating scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models.
You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space.
Key Responsibilities:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
- A highly competitive salary range of $85,000 - $125,000 per year, commensurate with experience.
- A comprehensive benefits package, including health insurance, retirement plan, and paid time off.
- The opportunity to work with a talented team of engineers and data scientists, contributing to the development of innovative machine learning solutions.
- A dynamic and fast-paced work environment, with opportunities for career growth and professional development.
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