AI Intern

Responsibilities

• Partner with functional teams to assess processes, identify automation opportunities, and develop AI-driven solutions that reduce manual work and improve decision-making
• Design, build, and deploy intelligent bots tailored to specific business functions such as finance, HR, supply chain, and operations
• Integrate large language models (LLMs) and AI APIs into existing workflows and internal systems to enhance productivity across corporate functions
• Analyze internal data sets to surface insights, build dashboards, and support data-driven reporting for portfolio companies and the investment team
• Document AI solutions, technical workflows, and user guides to enable adoption and sustainability of new tools
• Work across departments to understand pain points, gather requirements, and ensure solutions are practical and user-friendly
• Monitor advancements in AI/ML tools, platforms, and best practices, and bring forward relevant innovations for evaluation

Qualifications

• Currently enrolled in a bachelor’s degree program with a major in Computer Science, Data Science, Engineering, or a related field
• Experience with Python, R, or other programming languages
• Knowledge of machine learning algorithms and techniques
• Understanding of natural language processing (NLP)
• Experience with data analysis and visualization tools like Tableau, Power BI, or similar
• Strong problem-solving skills and ability to work independently
• Excellent communication and collaboration skills

Skills

• Programming Languages: Python, R
• Machine Learning: Algorithms, Techniques
• Natural Language Processing (NLP)
• Data Analysis & Visualization: Tableau, Power BI

Benefits

• Networking opportunities with key business and technology community members
• Opportunity to earn class or internship credits pursuant to your attending college or university's credentials
• Real-world experience building AI solutions deployed across a global holding company
• Great mentors who care about your professional and technical growth

Pay

Competitive compensation package based on experience and qualifications.

Schedule

Full-time, 40 hours per week, with flexibility for remote work options.