Position Summary
We are seeking a highly motivated AI and Machine Learning Intern to join our Data Team. This internship offers a unique opportunity to apply advanced analytical and machine learning skills to solve real-world business challenges using actual company data. The intern will work closely with the team to develop and train AI-driven solutions aimed at improving business operations, ranging from building intelligent chatbots to enhancing distribution center slotting strategies.
Key Responsibilities
- Champion designing, building, and training machine learning models using organizational data
- Contribute to the development of an AI-based chatbot to provide instantaneous answers to company questions
- Apply machine learning techniques to optimize operational challenges such as slotting and inventory management in the distribution center
- Collaborate with IT, Data, Warehouse, and business stakeholders to gather requirements and validate solutions
- Research and recommend AI/ML tools and frameworks to support development efforts
- Analyze and visualize data to uncover patterns and support model training and validation
- Document models, processes, and results for future reference and scalability
- Other duties and tasks as assigned
Learning Objectives
- Gain hands-on experience developing AI and machine learning solutions with real business impact
- Apply academic knowledge to real-world datasets and operational challenges
- Strengthen skills in data preparation, model development, and performance evaluation
- Understand how AI and ML integrate into business workflows and decision-making
- Collaborate in a professional, cross-functional environment working closely with IT, Distribution, and Business Leadership
Additional Information
- This is a paid internship at a rate of $18.00 per hour.
- Internship runs for 12 weeks, 20 hours per week.
- The role may involve a combination of on-site and remote work, depending on project needs, with required in-person attendance for onboarding, team meetings, and trainings.