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.

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  Develop prototypes or proof-of-concept tools that integrate AI models into existing production processes.

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  Support R&D initiatives related to text-to-image, text-to-video, or procedural content generation.

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  Collaborate with pipeline and production teams to identify areas where AI can bring measurable benefits.

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  Document findings, results, and recommendations for potential long-term integration.

Qualifications

Essential:

• Strong curiosity and passion for emerging AI and machine learning technologies.

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  Basic understanding of Python programming and familiarity with AI/ML frameworks (e.g., PyTorch, ComfyUI, TensorFlow, OpenAI APIs, Hugging Face).

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  Good analytical and problem-solving skills.

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  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).

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  Exposure to LLMs, image generation models, or diffusion-based AI tools.

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  Familiarity with cloud-based or API-driven AI services.

What You’ll Gain

• Hands-on exposure to cutting-edge Generative AI technologies.

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  Mentorship from experienced engineers and artists.

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  Opportunity to influence future AI-driven production workflows.

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  Experience presenting research findings and prototypes to cross-functional teams.