We are seeking a highly motivated and creative Generative AI Image Creation Intern to support several of our teams by utilizing generative AI tools to create images for a number of different purposes. This role offers an excellent opportunity to gain hands-on experience with state-of-the-art AI techniques and contribute to real-world projects.
Image Creation: Work with multiple stakeholders, both technical and non-technical, to gather imagery requirements and use generative AI tools to create images for the business. Images could be used for design visualization, training, marketing, or other purposes.
Experimentation: Conduct experiments with various AI architectures and algorithms to optimize image generation results.
Evaluation: Evaluate GenAI tool performance and suggest workflows that streamline image creation for our business.
Documentation: Document findings, processes, prompt suggestions, and other information with the goal of creating standard work.
Collaboration: Work closely with cross-functional teams including marketing, engineers, and product managers to integrate AI-generated images into company projects.
Stay Updated: Keep abreast of the latest advancements in generative AI and propose new techniques that can be applied to our projects.
Currently pursuing or recently completed a degree in Graphic Design, Computer Science, Artificial Intelligence, Data Science, or a related field.
Proficeincey in prompt engineering and exposure to several image creation GenAI platforms like DALL-E, Midjourney, Stable Diffusion, Adobe Firefly, or Generative AI by Getty.
Knowledge and understanding of pricing models for various GenAI tools.
Experience with image editing software.
Ability to work independently as well as collaboratively in a team environment.
Excellent communication and documentation skills.
Prior experience with generative AI projects or internships.
Knowledge of industrial process, energy-generation, or similar equipment and systems.
Exposure to CAD software and its benefits and limitations.
Familiarity with of machine learning principles and generative models such as GANs, VAEs, etc.
Knowledge of deep learning techniques and neural network architectures.
Proficiency in programming languages such as Python and familiarity with AI frameworks like TensorFlow or PyTorch.
Passion for AI and a strong desire to learn and grow in the field.
