Data Scientist

About the job

Job Description We are seeking a skilled professional to lead our data science initiatives. This role requires deep expertise in transformer architectures and strong fundamentals in model training, fine-tuning, and optimization. The ideal candidate thrives in a fast-paced environment, is execution-focused, and demonstrates ownership from architecture to deployment. Key responsibilities include model ... development and fine-tuning, domain-specific applications, evaluation and optimization, cross-modality integration, research and experimentation, and driving initiatives independently with strong problem-solving skills. Model Development & Fine-tuning: Develop and run end-to-end experiments on transformer-based architectures. Domain-Specific Applications: Audio - lip-sync, emotional delivery, regional language support; Video - scene/character consistency, quality benchmarks; Text - extend large language models (LLMs) to handle regional languages and domain-specific adaptation. Evaluation & Optimization: Design automated evaluation frameworks for objective quality scoring. Cross-Modality Integration: Experiment with audio-video synchronization, background score integration, and text-to-video alignment. Research & Experimentation: Stay ahead of rapidly evolving models and tools, testing architectural variations and scaling solutions for production use. Ownership & Execution: Drive initiatives independently with strong problem-solving, accountability, and first-principles thinking. Requirements include 4-10 years of experience in applied data science/machine learning, solid grasp of transformer architectures, modality depth, hands-on skills, deployment knowledge, evaluation metrics, and adaptability.

Requirements

• transformer architectures
• model training
• optimization
• problem-solving

Preferred Technologies

• transformer architectures
• model training
• optimization
• problem-solving