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Mid-level AI role in metro locations with common ML/Azure skillset increases candidate competition.
Core ML skills transfer broadly, but healthcare/RCM domain knowledge increases fit sensitivity.
Explicit 6–9 years and production ML/Azure/Databricks requirements make shortlisting stringent.
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Design, develop, and deploy scalable AI and analytics solutions to improve revenue cycle management operational efficiency.
Build and maintain production-ready AI/ML models and analytical pipelines aligned with business priorities.
Collaborate with Product, Engineering, and Operations teams to ensure solution relevance and impact, and mentor junior team members.
6-9 years of experience in analytics, data science, or applied AI roles with production deployment experience.
Strong proficiency in SQL and Python; hands-on AI/ML, predictive modeling, and feature engineering skills.
Experience with cloud data platforms, preferably Microsoft Azure, and familiarity with Databricks and data lakes.
Bachelor's or Master’s degree in Engineering, Computer Science, Data Science, or equivalent field; location: Hyderabad or Bengaluru (Hybrid).
Proven ability to independently manage AI/analytics solutions end-to-end in a fast-paced, ambiguous environment.
Experience in healthcare or revenue cycle management (RCM) domain or in regulated industries is advantageous.
Strong problem-solving, communication skills, and ownership mindset aligned with high-quality engineering and analytics standards.