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Medium — known brand and mid-level ML role, but niche LLM and healthcare focus limits applicants.
High — healthcare PII/PHI handling and responsible-AI constraints make cross-industry transferability limited.
High — explicit 5+ years, production LLM experience, strong statistics and responsible-AI requirements.
Design and build AI-powered features for OpenPHC including patient prioritisation ranking model, AI Micro-Coach content and logic, and natural language Data Insights query layer.
Ensure privacy by masking personal data for external AI/LLM use and prepare detailed responsible AI evidence for governance sign-off.
Own model architecture and implementation decisions within feature scope and develop evaluation suites and automated tests for each AI feature.
5+ years experience building applied AI/ML products with at least one shipped to real, non-technical end users.
Hands-on production experience with large language models (LLMs), including prompt design and failure mode handling.
Strong Python skills and solid grounding in statistics/econometrics, capable of designing ranking/prioritisation models.
Education preference: IIT or Indian Statistical Institute (ISI Kolkata) with statistics/econometrics focus.
Operates effectively in ambiguous problem spaces, able to scope and build AI-first solutions with rapid iteration and high-quality standards.
Experienced in responsible AI practices including safety, privacy, and failure mode documentation required for governance gatekeeping.
Likely to have prior exposure to ranking/recommendation systems, Indic-language NLP or speech projects, or adaptive learning products (nice-to-have).