AI/ML Specialist

4 days ago


davangere, India beBeeArtificial Full time

AI/ML Specialist Position OverviewThe role of the AI Grant Evaluation & Research Professional plays a critical part in advancing initiatives to improve grant-writing success through AI-assisted scoring, analysis, and content creation.Key Responsibilities:Grant Scoring System Development and Enhancement: Refine and optimize scoring rubrics used to evaluate grant executive summaries, assess system outputs for accuracy, precision, and meaningful differentiation among high-quality grants, and conduct comparative analysis between supported and unsupported grants to identify factors influencing funding outcomes.AI Model Collaboration, ML/DL Integration & Prompt Engineering: Collaborate on the development, evaluation, and refinement of custom GPT-based and other LLM models, apply ML and DL techniques to enhance model reliability, pattern recognition, and scoring logic, develop, test, and optimize prompts and model configurations for improved output quality, and integrate subject-matter insights and domain-specific datasets into model improvements.Research, Data Analysis & Model Evaluation: Analyze large datasets of historical grants using ML and DL methods to identify trends and differentiators, perform model performance evaluation (accuracy, precision, recall, and error analysis), and support creation and refinement of conceptual AI workflows and pipelines for production-ready systems.Cross-Functional Collaboration: Partner with grant writers, educational strategists, engineers, and AI technologists, lead iterative testing cycles and feedback loops with SMEs, and collaborate with engineering teams on dataset expansion, model versioning, and training processes.Future Development & System Expansion: Contribute to next-phase development of automated grant writing capabilities, support identification and integration of new data sources, such as RFPs, funded/unfunded grant libraries, and structured text datasets, and assist in planning ML pipeline development environments such as Databricks or similar.



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