Data Science Specialist for Grant Success

5 days ago

kanpur, India beBeeArtificialintelligence Full time

AI/ML Developer Role:The AI/ML Developer will play a pivotal role in driving Clinical Education Alliance's initiatives to enhance grant-writing success through AI-assisted scoring, analysis, and content generation.Key ResponsibilitiesGrant Scoring System Development & EnhancementRefine and optimize scoring rubrics used to evaluate grant executive summaries.Evaluate system outputs to ensure accuracy, precision, and meaningful differentiation among high-quality grants.Conduct comparative analysis between supported and unsupported grants to identify factors influencing funding outcomes.Ai Model Collaboration, ML/DL Integration & Prompt EngineeringCollaborate on the development, evaluation, and refinement of custom GPT-based and other LLM models.Apply ML and DL techniques to improve model reliability, pattern recognition, and scoring logic.Develop, test, and optimize prompts and model configurations for improved output quality.Integrate subject-matter insights and domain-specific datasets into model improvements.Research, Data Analysis & Model EvaluationAnalyze 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).Support creation and refinement of conceptual AI workflows and pipelines for production-ready systems.Cross-Functional CollaborationPartner with grant writers, educational strategists, engineers, and AI technologists.Lead iterative testing cycles and feedback loops with SMEs.Collaborate with engineering teams on dataset expansion, model versioning, and training processes.Future Development & System ExpansionContribute 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.Assist in planning ML pipeline development environments such as Databricks or similar.

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