AI Intern

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Job Description:

Position Description:

As part of the Ryder IT team, 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.

Requirements:

• Senior/Graduate Students pursuing a bachelor's or master’s degree in management information systems (MIS) , computer science, data science or computer engineering preferred
• Exposure to SQL, database management systems, NO-SQL databases, data integration tools like Informatica or Azure Data Factory preferred
• Exposure to cloud technologies and platforms desired
• Exposure to machine learning , predictive modeling and use of large language models desired
• Knowledge to scripting languages like UNIX shell scripting, Python, R preferred
• Must be self-motivated, results-oriented and accountable
• Excellent interpersonal and communication skills
• Ability to work independently
• Passionate for learning
• Good organizational skills

• Ability to:
  • Write SQL queries
  • Develop and implement machine learning models and algorithms
  • Learn new technologies and tools, bring new ideas to the team and be an effective team player
  • Effectively communicate with management and co-workers and customers; strong customer focus
  • Learn, adapt, grow, and be flexible
  • Multitask, demonstrate good organization and time management skills
  • Work well under pressure, successfully meet schedules, work independently as needed to produce high quality work with minimal supervision
  • Operate as part of a cross-functional project team that will organize, plan and execute varying scale projects from vision to implementation 

• Knowledge of:
  • Machine learning model structures and evaluation techniques preferred
  • Generative AI models such as GPT-4/4o, or other large language models (LLMs)
  • Information technologies
  • Cloud platform like Microsoft Azure desired
  • BI tools (e.g. MicroStrategy, Power BI, Tableau, Cognos, etc.)
  • Certificate in Cloud based data ingestion, storage and analytics tools like Azure Data Factory, BLOB Storage, Power BI etc. completed or in progress desired

• Certificate in AI based tools like Databricks, Azure Machine Learning, AWS Sagemaker, etc. completed or in progress desired
• Certificate in database management systems or business intelligence completed or in progress preferred
• Robotic Process Automation (RPA) knowledge desired
• Windows and UNIX operating systems

Responsibilities:

• Work with on premise and cloud-based solutions and platforms
• Assist in the development and implementation of AI models and algorithms to solve real-world logistics and transportation challenges.
• Collaborate with cross-functional teams to integrate generative AI and LLM capabilities into existing systems and workflows.
• Analyze and document data requirements including facilitation of sessions with business
• Data analysis and profiling
• Collaborate with the technical team, in any given product development cycle, on data and AI requirements
• ETL source to target documentation including business matrix and functional requirements
• Develop and test data ingestion and integration processes
• Troubleshoot data ingestion, ETL and data issues
• Design and develop machine learning models, interactive visual dashboards, and reports
• ​Ability to write SQL queries to profile data and validate solutions delivered against data sources
• SQL troubleshooting
• Develop and test scripts to support ETL jobs execution
• Understand that the end user is the primary reason for the technology and therefore strive for full customer satisfaction
• Partner with key members of various departments to determine the definitions of essential data elements
• Work with data architects to review and implement logical and physical database models
• Support the mapping of source system data to target models into data warehouse and data lake
• Define and capture metadata and rules associated with the calculation of metrics
• Test automation
• Perform other duties as assigned

EDUCATION

H.S. diploma/GED - High School Diploma or equivalent   required

Actively pursuing Bachelor’s or Master’s degree in Computer Science, Information Systems or Computer Engineering. Business majors with minors in technical disciplines also considered.

Job Category

Compensation Information:

The compensation offered to a candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below:

Pay Type:

Minimum Pay Range:

Maximum Pay Range:

Benefits Information:

For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.

Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace.

All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Security Notice for Applicants:

Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire.  During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers.

Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754.

Current Employees:

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