AI & Data Platform Engineering Intern

New
W
WEXFinTech
United StatesFull-TimeEntry
Salary not disclosed
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Job Details

Required Skills
PythonSQLGitMachine LearningData engineering

Requirements

  • Currently pursuing a Bachelor's degree in Computer Science, Machine Learning, Software Engineering, or related field.
  • Must have completed at least Sophomore year of school at the start of the internship.
  • Proficiency in coding using modern languages such as Python, Java, or Go.
  • Strong understanding of Object-Oriented Programming (OOP) concepts, scripting, and automated testing.
  • Solid understanding of machine learning algorithms, techniques, and best practices.
  • Hands-on experience with SQL and relational database concepts.
  • Familiarity with version control tools like Git/GitHub.
  • Strong analytical thinking and problem-solving abilities.
  • Excellent written and verbal communication skills.
  • High motivation, learning agility, and interest in big data and cloud infrastructure.

Responsibilities

  • Work on projects that leverage AI/ML for fraud prevention, credit risk assessment, and data-driven decision making.
  • Contribute to semantic models and reusable data assets to provide consistent business context across the enterprise.
  • Develop advanced SQL queries and pipelines to ingest, clean, and enrich core company data.
  • Design and implement AI-assisted workflows and agentic systems to optimize production environments.
  • Help construct and test proof-of-concept AI solutions, automated scripts, and LLM implementations.
  • Implement automated data-quality checks, monitoring, and observability capabilities.
  • Contribute to platform reliability through reusable frameworks, automated testing, and CI/CD.
  • Partner with software engineers to build integrations connecting data and AI tools with enterprise systems.
  • Collaborate with stakeholders to simplify complex technical concepts and support tool adoption.
  • Research emerging AI technologies and present findings to the broader engineering team.
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