<p><p><b>Position : Data Scientist (Generative AI Text, Audio, Video)</b><br/><br/><b>Experience : 4+ Years</b><br/><br/><b>Engagement : Permanent</b><br/><br/><b>Notice Period : Immediate Joiner</b><br/><br/><b>Location : Remote (with occasional travel covered)</b><br/><br/><b>Work Arrangement : Remote</b><br/><br/><b>Position Overview :</b><br/><br/>We are hiring Data Scientists specializing in Generative AI to build breakthrough applications in text, audio, and video generation.
The role is hands-on, research-driven, and involves taking experiments from concept to deployment in a fast-paced environment.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Fine-tuning and optimizing LLMs for advanced text generation<br/><br/></p><p>- Developing Whisper-based pipelines for multilingual speech recognition and audio generation<br/><br/></p><p>- Experimenting with diffusion models, LoRA, RLHF, and SFT for text-to-audio and text-to-video tasks<br/><br/></p><p>- Building lip-sync systems that feel natural and emotionally consistent<br/><br/></p><p>- Ensuring character consistency in video generation pipelines<br/><br/></p><p>- Designing and implementing automated evaluation systems to raise quality standards for AI-generated content<br/><br/></p><p>- Collaborating with cross-functional teams across product, engineering, and research to deploy real-world AI experiences at scale<br/><br/><b>Required Skills :</b><br/><br/>- 47 years of Data Science/Machine Learning experience<br/><br/></p><p>- Depth in at least one generative modality: Text, Audio, or Video<br/><br/></p><p>- Strong coding skills (Python, PyTorch, TensorFlow, CUDA)<br/><br/></p><p>- Proven experience with transformer architectures, diffusion models, or generative pipelines<br/><br/></p><p>- Familiarity with model fine-tuning (LoRA, PEFT), RLHF, SFT, and large-scale training<br/><br/></p><p>- Ability to take ownership from research and prototyping to production deployment<br/><br/></p><p>- Strong problem-solving skills<br/><br/></p><p>- Comfort working in a high-velocity, research-oriented environment</p><br/></p> (ref:hirist.tech)