Generative AI Intern
On-site
Job Description
Joining our internship at The Coca-Cola Company offers the unique opportunity to contribute to a global brand that has a positive impact worldwide. At our AOC in Atlanta, Georgia, we are seeking an Intern passionate about Generative AI to join our Emerging Technologies team. This role provides hands-on experience with the latest in generative AI technologies, offering a platform for innovation within a team of experienced professionals. You will engage in real-world projects, leveraging generative AI to solve complex business challenges, and gain insights into the development of AI-driven solutions.
You will benefit from a wealth of learning resources through Coca-Cola University, LinkedIn Learning, and direct mentorship, fostering both personal and professional growth. This position is designed for those eager to dive deep into the realms of AI, machine learning, and digital innovation, working closely with specialists in the field to understand business needs, develop AI models, and contribute to the pioneering digital initiatives of The Coca-Cola Company.
Responsibilities
- Engage in learning and development through training materials, courses, coaching sessions, and hands-on tasks focused on generative AI and The Coca-Cola Company's digital innovations.
- Expand your knowledge in AI, machine learning, Python, TensorFlow, PyTorch, and cloud technologies, applying these skills to contribute to our cutting-edge projects.
- Participate in special projects tailored to the internship program, focusing on the development and implementation of generative AI applications.
- Collaborate with cross-functional teams to understand business objectives, develop AI strategies, and implement solutions that drive innovation.
- Assist in the enhancement of technical documentation and the development of AI models to support research and innovation.
Job Requirements
- Currently pursuing a Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields with a graduation date no earlier than December 2024.
- Experience with programming languages such as Python, and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch).
- A foundational understanding of AI concepts, machine learning models, and the ability to work with large, complex datasets.
- Proficiency in English, with excellent analytical, problem-solving, and learning capabilities.
- A proactive mindset, willing to experiment, embrace failure, and grow within the field of generative AI.
