Senior Software Engineer - Machine Learning & Artificial Intelligence (ML & AI)

About the Role

Key Responsibilities

• Design, train, and deploy predictive analytics models for disease detection, patient risk assessment, and personalized treatment recommendations.
• Develop computer vision algorithms for medical imaging analysis, assisting in diagnostics and anomaly detection.
• Implement natural language processing (NLP) models for extracting insights from clinical notes, electronic health records (EHRs), and medical literature.
• Architect and develop scalable AI-driven applications that integrate with healthcare systems.
• Ensure data governance, compliance (HIPAA, GDPR), and security best practices.
• Optimize AI models for real-time processing and efficient deployment in cloud or on-premise environments.
• Design and maintain data pipelines for structured and unstructured healthcare data.
• Ensure data quality, preprocessing, and feature engineering for AI model training.
• Work with big data technologies to manage large-scale healthcare datasets.
• Ensure AI solutions comply with healthcare regulations and implement robust security measures.
• Develop explainable AI (XAI) models to enhance transparency and trust in healthcare decisions.
• Work closely with clinicians, researchers, and administrators to define AI-driven solutions that improve patient outcomes.
• Communicate AI insights effectively to non-technical stakeholders.
• Establish monitoring tools to track AI model performance and reliability.
• Provide technical support for AI-driven healthcare applications, troubleshooting issues and optimizing performance.
• Implement model retraining strategies to adapt AI solutions to evolving healthcare data and requirements.
• Ensure long-term sustainability of AI models through version control, documentation, and stakeholder feedback.
• Provide technical leadership, mentoring junior engineers, and guiding AI strategy within the organization.

Requirements

• Bachelor's or Master's degree in Computer Science, AI, or a related field.
• 5+ years of experience in ML and AI development, with a focus on healthcare interoperability and platform architecture.
• Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.
• Experience with natural language processing (NLP) and computer vision for healthcare applications.
• Knowledge of reinforcement learning and large language models (LLMs).
• Familiarity with AI observability and experimenting tools such as MLFlow.
• Expertise in microservices architecture, ensuring modular and scalable AI solutions.
• Proficiency in containerization (Docker, Kubernetes) for deployment.
• Experience with cloud platforms (AWS, Azure, GCP) for scalable AI integration.
• Strong understanding of high-performance computing for large-scale healthcare data processing.
• Ability to design interoperable systems that integrate with healthcare standards like FHIR, HL7, and EHR systems.
• Experience building ML inference endpoints for model serving.
• Build and maintain data pipelines for structured and unstructured healthcare data.
• Ensure data governance, compliance (HIPAA, GDPR), and security best practices.
• Work with big data technologies and data warehouse solutions such as Snowflake, Data Lake, or Oracle ADB.
• Develop modular, scalable AI-driven applications for healthcare analytics.
• Optimize AI models for real-time processing and deployment.
• Implement CI/CD pipelines for continuous integration and deployment.
• Provide technical leadership, mentoring junior engineers, and guiding AI strategy.
• Work collaboratively with clinicians, researchers, and administrators to define AI-driven solutions.

Nice to Have

• Experience with reinforcement learning and large language models (LLMs).
• Knowledge of AI observability and experimenting tools such as MLFlow.
• Experience with healthcare standards like FHIR, HL7, and EHR systems.
• Experience working with data warehouse solutions such as Snowflake, Data Lake, or Oracle ADB.

Qualifications

• Position requires a Bachelor's or Master's degree in Computer Science, AI, or a related field.

Benefits & Perks

• Challenging and rewarding work environment
• Growth and development opportunities within UHS and its subsidiaries
• Competitive Compensation
• Excellent Medical, Dental, Vision and Prescription Drug Plan
• 401k plan with company match
• Generous Paid Time Off