.
Develop and prototype novel attention mechanisms such as
GQA and SWA
.
Provide theoretical insights and validate experimental designs for
RAG/KAG
workflows and multi-agent systems.
Collaborate with ML Engineers to integrate and validate experimental designs.
Publish findings to support IP generation and technical differentiation.
Basic Skills:
Advanced degree in Computer Science, Mathematics, or related fields.
Proven research experience in NLP and deep learning.
Strong analytical and mathematical skills.
Familiarity with academic research and publication processes.
Project-Specific Skills:
Expertise in modular and dynamic architectures like MoE.
Experience in designing scalable LLMs for specific use cases.
Familiarity with datasets like
CodeSearchNet or BigCode
for code generation research.
Proven ability to design experiments and analyze results using tools like WandB or MLflow.
Deep understanding of knowledge retrieval mechanisms and their integration with LLMs.
Job Type: Full-time
Pay: From ?30,000.00 per month
Benefits:
Health insurance
Provident Fund
Work Location: In person
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