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AI Engineering Intern
Sezzle. Design A.I. systems from the ground up . Generate reliable and accurate training data for A.I. systems . Collaborate with engineers, data analysts, and business end users to build effective systems . Write accurate and
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in SQL and Python with a solid understanding of data analysis and database structures, capable of designing A.I. systems and generating reliable training data while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Proficiency In SQLProficiency In PythonExperience With Large Language ModelsData Analysis SkillsCollaboration With Engineers
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData AnalysisDatabase StructuresA.I. System Design
Soft Skills
High IQHigh EQCollaborationCommunication
Tools & Technologies
ClaudeA.I. Tools
Industry Keywords
Business AnalyticsData AnalyticsComputer Science
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Design A.I. systems from the ground up
- Generate reliable and accurate training data for A.I. systems
- Collaborate with engineers, data analysts, and business end users to build effective systems
- Write accurate and efficient SQL queries
- Join the Data Science team and help build foundational A.I. systems at Sezzle
Requirements
What you’ll need- Proficiency in SQL and Python
- Solid understanding of data analysis and database structures
- Currently enrolled in a postsecondary institution studying MIS, Business Analytics/Data Analytics, or Computer Science
- Demonstrated experience working with Claude or equivalent large language model tools is required
- Comfortable leveraging AI to enhance productivity, research, and communication
- High IQ and high EQ
- Must complete the interview process, including Wonderlic test, SQL and Python questions, and interviews with recruiters, engineers, and engineering leadership