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