Description

You will own end-to-end R&D initiatives focused on generative AI models.

Responsibilities

• Build and fine-tune advanced transformer-based models including LLMs, Whisper, diffusion, LoRA, and RLHF/SFT.
• Work across modalities (audio, video, text), pushing boundaries on lip-sync accuracy, character consistency, and audio realism.
• Design automated evaluation frameworks for image, audio, and video quality scoring.
• Experiment with audio–video synchronization, background score blending, and text-to-video alignment.
• Own the transition of prototypes into production systems.

Required Skills

• 4–10 years of experience in applied ML/AI.
• Strong fundamentals in transformers, training dynamics, and optimization.
• Hands-on expertise with Python, PyTorch, and TensorFlow.
• Deep expertise in one modality (audio/video/text) with demonstrable end-to-end project work.
• Experience deploying ML inference using FastAPI or similar frameworks.
• Ability to design automated evaluation metrics for generative output.
• Experience working with LLMs.

Key Skills

Education

Any Graduate