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Data Specialist
2 weeks ago
Generative AI ResearcherWe are seeking a highly skilled Generative AI Researcher to join our research-driven team. This role demands deep expertise in transformer architectures along with strong fundamentals in model training, fine-tuning, and optimization.This position involves working across text, audio, and video modalities, with the opportunity to specialize deeply in one area while maintaining the versatility to experiment across others.Key ResponsibilitiesDevelop and fine-tune transformer-based architectures (LLMs, Whisper, diffusion, LoRA, RLHF/SFT, multimodal models).Prototype, benchmark, and push the limits of emerging generative AI techniques.Domain-Specific ApplicationsInvestigate lip-sync accuracy and emotional delivery (whispering, shouting, crying).Explore regional language model support.VideoImprove character & scene consistency.Enhance quality outputs comparable to Veo3/Sora.Maintain motion smoothness & frame coherence.TextExtend LLMs to handle regional languages.Build domain-adapted, fine-tuned models.Evaluation & OptimizationDesign automated evaluation pipelines for audio, video, and image quality scoring.Optimize trade-offs between speed, quality, and compute efficiency.Cross-Modality IntegrationExperiment with audio–video synchronization.Integrate background score generation and text-to-video alignment.Push the boundaries of multimodal generative systems.Research & ExperimentationStay ahead of rapidly evolving AI models, tools, and techniques.Test architectural variations and scaling strategies for production-ready systems.RequirementsExperience4–10 years in applied ML/Data Science with significant generative AI experience.Core FundamentalsDeep understanding of transformer architectures, training dynamics, and model optimization.Experience with LLMs, diffusion models, and multimodal architectures.Modality ExpertiseDepth in at least one modality (text, audio, or video) with end-to-end project delivery.Technical SkillsStrong coding skills in Python.Expertise with frameworks like PyTorch or TensorFlow.Experience with deployment frameworks (e.g., FastAPI, model servers).Evaluation ExperienceAbility to design and implement automated evaluation systems for generative outputs.AdaptabilityComfort with rapid experimentation and learning new tools, models, and techniques.
