Senior AI/ML Engineer
Core
Design, develop, and deploy AI/ML models and intelligent systems to enhance clinical decision-making, operational efficiency, and patient outcomes within healthcare SaaS platforms.
Role type
Senior AI/ML Engineer (Healthcare SaaS)
Builds
Scalable, secure, and compliant SaaS platforms integrating AI capabilities
Domain
Healthcare technology / Clinical decision support
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Python, TensorFlow, PyTorch, Scikit-learn, SQL, CI/CD, Docker, Kubernetes, GitOps, Data Engineering, Cloud Architecture, HIPAA compliance, HL7/FHIR standards, Ethical AI design
Preferred skills
Cloud & AI Certifications, Healthcare Standards & Compliance, Ethical AI & Responsible Use, Data Engineering & Real-Time Analytics
Technologies
TensorFlow, PyTorch, Scikit-learn, Azure, AWS, GCP, Spark, Hadoop
Responsibilities
Design and deploy AI/ML models for clinical decision-making; Integrate AI capabilities into scalable SaaS platforms; Build scalable data pipelines and real-time analytics; Ensure healthcare compliance and interoperability with EHRs; Align AI initiatives with business and clinical goals
Seniority
Senior, hands-on IC
