Job Description
📋 Description Lead design, deployment, and optimization of AI/ML solutions for healthcare. Own end-to-end MLOps lifecycle: feature store, training, CI/CD, retraining, prod ops. Establish model monitoring, drift, fairness, and champion-challenger approaches. Guide responsible adoption of generative AI and LLMs for analytics and automation. Define standards, reusable components, and patterns to accelerate AI delivery. Partner with security/compliance to meet regulatory requirements. 🎯 Requirements Bachelor’s degree in CS/DS/Engineering (required); Master’s preferred. 8+ years in software/ML engineering; 5+ years of leadership. Proven experience productionizing ML at scale (CI/CD, versioning, monitoring, retraining). Experience in regulated healthcare/PHI environments (HIPAA knowledge). Hands-on with Databricks/Delta Lake, Spark, Python, SQL. Cloud infra experience, preferably Azure; IaC practices; strong communication. 🎁 Benefits Competitive compensation with performance-based opportunities. Comprehensive total rewards and healthcare benefits. Remote work flexibility and cross-team collaboration. Leadership development and professional growth opportunities. Work with advanced AI platforms and modern data architectures. Collaborative culture focused on innovation and operational excellence.
