AI Intern

AI Intern Location: ILM Mumbai Duration: 3months Department: Pipeline Reports To: Rakesh Roopavataram About the Role We are seeking a Generative AI Intern to explore and prototype applications of emerging GenAI technologies across our production workflows. This internship is designed to be a learning-driven, exploratory role that helps our teams stay at the forefront of rapidly evolving AI tools and creative automation techniques. Because the GenAI landscape is continuously changing, this position offers a unique opportunity to research, experiment, and help define how new AI-driven technologies can enhance our production efficiency, creativity, and technical pipeline. Responsibilities • Research and evaluate current GenAI tools, frameworks, and APIs relevant to content creation, automation, and visual effects workflows. • Develop prototypes or proof-of-concept tools that integrate AI models into existing production processes. • Support R&D initiatives related to text-to-image, text-to-video, or procedural content generation. • Collaborate with pipeline and production teams to identify areas where AI can bring measurable benefits. • Document findings, results, and recommendations for potential long-term integration. Qualifications Essential: • Strong curiosity and passion for emerging AI and machine learning technologies. • Basic understanding of Python programming and familiarity with AI/ML frameworks (e.g., PyTorch, ComfyUI, TensorFlow, OpenAI APIs, Hugging Face). • Good analytical and problem-solving skills. • Ability to work independently and explore unfamiliar technologies with minimal supervision. Preferred: • Experience with content creation workflows (e.g., CG, animation, VFX, or procedural tools such as Houdini, Unreal, or Blender). • Exposure to LLMs, image generation models, or diffusion-based AI tools. • Familiarity with cloud-based or API-driven AI services. What You’ll Gain • Hands-on exposure to cutting-edge Generative AI technologies. • Mentorship from experienced engineers and artists. • Opportunity to influence future AI-driven production workflows. • Experience presenting research findings and prototypes to cross-functional teams.