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Ai Intern
Posted on Feb. 25, 2026
- Mh, India
- 0 - 0 USD (yearly)
- Internship
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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.
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