Artificial Intelligence Intern

About Doodli AIDoodli transforms your child’s imagination into magical, animated shows. With just a drawing or a favourite idea, Doodli brings characters to life in colourful, personalized micro shows and episodes designed for kids ages 2–8.ResponsibilitiesBuild and improve AI-driven pipelines that transform children’s drawings and ideas into animated video content.Work on machine learning models related to image understanding, storytelling, animation logic, and video generation.Assist in developing agentic AI systems that follow parent-defined lessons, values, and themes.Implement backend AI services using Python and FastAPI to support content generation workflows.Experiment with and adapt transformer-based models for creative, educational, and child-safe use cases.Preprocess, clean, and analyze multimodal datasets (images, text, prompts) for model training and evaluation.Collaborate with product and design teams to ensure outputs are engaging, age-appropriate, and safe for kids.Document experiments, model behaviour, and learnings clearly for future iterations. (Optional) Support model deployment, monitoring, and optimization on cloud infrastructure.Required QualificationsStrong proficiency in Python.Hands-on experience with machine learning fundamentals, especially applied use cases (NLP, vision, or generative AI).Understanding of transformer architectures (attention mechanisms, BERT, GPT, or similar models).Familiarity with ML libraries such as PyTorch or TensorFlow, along with NumPy, pandas, and scikit-learn.Experience or interest in building APIs using FastAPI or similar frameworks.Basic knowledge of data preprocessing, prompt design, model evaluation, and experimentation.Curiosity and enthusiasm for building creative AI products for children.Strong problem-solving mindset and willingness to learn rapidly in a startup environment.Preferred QualificationsExposure to generative AI, including image, video, or multimodal models.Experience working with LLMs, prompt engineering, or agentic workflows.Familiarity with child-safe AI concepts, content moderation, or educational AI (a plus, not mandatory).Experience deploying or experimenting with models on cloud platforms (AWS, GCP, or Azure).Knowledge of Git and collaborative development workflows.Interest in storytelling, animation, education, or creative technology.RequirementsCurrent enrollment in a Bachelor’s or Master’s program in Computer Science, Data Science, or a related field.Availability to work full-time in this internship for 3-4 months.Portfolio or GitHub showcasing relevant AI projects (e.g., ML models, FastAPI apps, transformer implementations).Internship Details

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