Design, develop, and deploy scalable AI/ML solutions across the healthcare domain.
Responsibilities
Design, develop, and deploy scalable AI/ML solutions across healthcare domain
Select, implement, and optimize supervised and unsupervised learning algorithms for classification, regression, clustering, anomaly detection, and forecasting
Learn and adopt AIDLC as the standard development approach, and promote its adoption through training and knowledge sharing
Develop deep learning, NLP, computer vision, recommender-system, reinforcement-learning, and generative AI models based on business needs
Perform feature engineering, hyperparameter tuning, cross-validation, error analysis, and model comparison using appropriate evaluation metrics
Lead technical design and implementation of AI platform infrastructure, owning large-scale distributed systems and cross‑functional initiatives.
Locations (2)
Bangalore, India
San Francisco, California, United States
Responsibilities
Own major AI Platform initiatives across backend, platform, infrastructure, and AI‑enabled systems
Lead design and execution for systems supporting agents, evals, automation, data pipelines, model quality, sandboxing, scaling, latency, and reliability
Act as a technical lead for cross‑functional work involving Product, Infra, Platform, AI, and Engineering teams
Break down ambiguous technical problems into clear architecture and execution plans
Write code, review critical code paths, debug production issues, and make implementation‑level decisions
