Ai Intern

Ryder

Remote
Hourly; $18.00 - $20.00; not specified ph
Remote
Develop and implement ai models
Work with structured, semi-structured, and/or unstructured data
Data profiling and analysis
Ryder is seeking an AI Intern to join their IT team, focusing on developing AI models and working with various data environments. This remote position is ideal for senior or graduate students pursuing degrees in relevant fields, offering an opportunity for future employment beyond the internship

Job Summary

  • The AI Intern will perform a variety of job functions for traditional on-premises as well as cloud-based environments.
  • This includes, but is not limited to, developing and implementing AI models, working with structured, semi-structured, and/or unstructured data, data profiling/analysis, data ingestion, ETL (Extract, Transform, Load) processes, report and dashboard development, testing, documentation, and production environment support including troubleshooting and break fixes.
  • The position could be extended past the summer internship period and may lead to a temporary position.

Matching Summary

Match Score: 85

Ryder is seeking an AI Intern to join their IT team, focusing on developing AI models and working with various data environments. This remote position is ideal for senior or graduate students pursuing degrees in relevant fields, offering an opportunity for future employment beyond the internship.

Salary

Hourly; $18.00 - $20.00; Not specified

Skills & Requirements

Must-have

  • develop and implement AI models
  • work with structured, semi-structured, and/or unstructured data
  • data profiling and analysis
  • ETL processes
  • report and dashboard development
  • production environment support

Nice-to-have

  • self-motivated and results-oriented
  • excellent interpersonal and communication skills
  • ability to work independently
  • passionate for learning
  • good organizational skills

Key Requirements

  • Senior/Graduate Students pursuing a bachelor's or master’s degree in MIS, computer science, data science or computer engineering
  • Exposure to SQL, database management systems, NO-SQL databases, data integration tools
  • Exposure to cloud technologies and platforms
  • Exposure to machine learning, predictive modeling and use of large language models
  • Knowledge of scripting languages like UNIX shell scripting, Python, R

Work Rights

Not specified

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