Data Scientist

Data Scientist (Video & Image Generation) - 3+ Years, immediate joiner, location agnostic

Required / Must-Have

Strong background in Machine Learning, Deep Learning, and Computer Vision

Hands-on experience with Generative AI models (diffusion, transformer, or latent video models)

Proficiency in Python and ML frameworks such as PyTorch or TensorFlow

Experience designing and optimizing video and image generation pipelines

Familiarity with Azure Machine Learning and cloud-based training / inference workflows

Experience with GPU-based training, distributed computing, and model deployment

Knowledge of multimodal data handling (text, image, video, audio)

Experience working with models like Sora, Veo, or Gemini (or similar multimodal systems)

Understanding of prompt engineering, fine-tuning, and LoRA / adapters for model adaptation

Proficiency with tools like Docker, Kubernetes, Databricks, MLflow, and Git

Strong analytical, problem-solving, and collaboration skills

Nice-to-Have

Familiarity with Java, React, and Spring Boot for integrating AI capabilities into production tools

Knowledge of model evaluation metrics for visual and temporal quality (e.g., FVD, SSIM, CLIPScore)

Experience with OpenCV and FFmpeg for video preprocessing and postprocessing

Awareness of recent research in video diffusion, temporal consistency, and multimodal generation

Prior contributions to open-source AI projects or published research