Job Summary

We are looking for an experienced AI / Machine Learning Engineer to build and deploy production-grade AI capabilities for a healthcare care-management platform.

The role involves developing AI solutions across population health, workflow optimization, clinical decision support and documentation assistance.

Key Responsibilities
Design, develop, test and deploy production AI/ML solutions.
Develop predictive and machine-learning models for healthcare use cases.
Build AI capabilities for:
Population health
Risk stratification
Workflow optimization
Clinical decision support
Documentation assistance
Analytics
Build evaluation harnesses to assess model quality and reliability.
Implement AI safety guardrails.
Design explainable and audit-ready AI outputs.
Conduct model evaluation, bias testing and safety testing.
Develop PHI-secure and secure AI/ML pipelines.
Work with de-identified or synthetic healthcare datasets during development and testing.
Collaborate with software engineering and healthcare-domain teams to productionize AI features.





Required Skills & Experience
3+ years of experience building and shipping AI/ML systems in production.
Robust Python ML stack experience.
Robust expertise in at least two of the following:
Risk stratification / predictive modeling
Population health
Recommendation systems
NLP / LLM text generation and summarization
Analytics
Experience with prompt engineering / prompting and RAG.
Experience building model evaluation frameworks.
Understanding of AI safety guardrails.
Experience with model evaluation and bias/safety testing.
Ability to produce explainable and audit-ready AI outputs.

Preferred Skills
Clinical NLP experience.
Experience with EHR data.
Experience with healthcare claims data.
Experience with SDOH / HRSN data.
MLOps experience.
Understanding of clinical decision-support safety.
Familiarity with CMS care-management program rules.

Security & He

📌 Ai / Machine Learning Engineer Clinical Ai Sadashiv Peth
🏢 Niranjan Enterprises
📍 Sadashiv Peth