Senior Transformer Architect

3 days ago

Koṭa, India beBeeDataScientist Full time

**Data Scientist Role Overview**This senior Data Scientist position involves utilizing deep expertise in transformer architectures to drive impactful business outcomes. The ideal candidate will possess strong fundamentals in model training, fine-tuning, and optimization, as well as experience working in a high-velocity R&D environment.**Key Responsibilities:**Develop and fine-tune end-to-end experiments on transformer-based architectures (LLMs, Whisper, diffusion, LoRA, RLHF/SFT, multimodal models).Evaluate and optimize quality scoring frameworks for objective quality assessment (images, video frames, audio clips) balancing trade-offs in speed, quality, and efficiency.**Requirements and Qualifications:**The ideal candidate should have 4–10 years of experience in applied Data Science/ML with a strong focus on generative AI, solid grasp of transformer architectures, LLMs, training dynamics, and optimization techniques, expertise in at least one modality (text, audio, or video), hands-on skills in Python and deep learning frameworks, deployment knowledge, and adaptability to experiment quickly with new tools, libraries, and models in a dynamic environment.**Job Requirements:**Experience working with transformer-based architectures and fine-tuning models for specific applications.Familiarity with quality scoring frameworks and their optimization for efficient processing.**Benefits of the Role:**This role offers the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and drive business growth through data-driven insights.

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