Sezzle
Tech / AI / Software
Sr.AIEngineerMarketing
“Sr. AI Engineer - Marketing at Sezzle. Skills: machine learning, scalable ML models, MLOps. overseeing 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 in the Sezzle marketplace, fraud detection, and credit risk assessment”
What You'll Achieve.
driving real impact on merchant sales through increased conversions and higher order values; creating more than just a transaction but a truly unique shopping journey; achieve project goals efficiently; deliver results
Industry & Context.
solve complex challenges with innovative solutions
What They're Looking For.
Must Have
6+ years of experience in machine learning engineering, demonstrated success in deploying scalable ML models in a production environment, Proficiency with Python
Nice to Have
Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields, Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions, experience with Golang is a plus, Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently, Experience working with relational databases, data warehouses, and using SQL to explore them, familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner, Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models, Comfortable with monitoring and observability tools tailored for machine learning models (e. g. , Prometheus, Grafana, AWS CloudWatch), experienced in developing recommender systems or enhancing user experiences through personalized recommendations, Solid foundation in data processing and pipeline frameworks (e. g. , Apache Spark, Kafka) for handling real-time data streams
What You'll Do.
overseeing the design
and deployment of machine learning models that power and enhance our financial platform
drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace
and credit risk assessment
blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models
high-quality solutions that address diverse challenges in the shopping and fintech space
ensure our AI-driven features are robust
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
How You'll Work.
Team & Collaboration
Collaborate with a team of engineers and data scientists; Work closely with product teams
Communication Scope
speak candidly
Process & Methodology
owning end-to-end projects
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