Chief Generative AI Model Developer

1 week ago


bareilly, India beBeeDataScience Full time

Job Description:Hiring a senior data scientist to work on generative AI with 4–10 years of experience in applied machine learning/artificial intelligence.Build and fine-tune advanced transformer-based models (LLMs, Whisper, diffusion, LoRA, RLHF/SFT)Work across modalities – audio, video, text – with depth in at least onePush the boundaries in lip-sync accuracy, character/scene consistency, audio realism, and video qualityThe role involves designing automated evaluation frameworks for image, audio, and video quality scoring. Experimenting with audio–video synchronization, background score blending, and text-to-video alignment is also part of the job.Required Skills and Qualifications:Key Responsibilities: Design and Develop Advanced Models: Build and fine-tune advanced transformer-based models for generative AI applications.Modalities Expertise: Work across multiple modalities, including audio, video, and text, with a focus on at least one modality.Quality Optimization: Push the boundaries of lip-sync accuracy, character/scene consistency, audio realism, and video quality.The ideal candidate should have strong fundamentals in transformers, training dynamics, and optimization. Hands-on experience with Python, PyTorch/TensorFlow is required. Experience deploying ML inference using FastAPI or similar is also needed.Benefits:This role involves staying on top of emerging architectures, tools, and scaling strategies. The candidate should own R&D initiatives end-to-end with strong execution and problem-solving skills.Others:The candidate will be working on designing automated evaluation frameworks for image, audio, and video quality scoring. They will also be experimenting with audio–video synchronization, background score blending, and text-to-video alignment.



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