Data Scientist
3 weeks ago
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
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