Lead Member of Technical Staff – Lead AI/ML

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Athenahealth is a leading provider of cloud-based services for healthcare systems, dedicated to transforming the way healthcare is delivered and managed. We are seeking a talented Lead AI/ML Engineer to join our dynamic team and lead the development of advanced machine learning models and AI solutions.

• Lead the design and development of machine learning models and AI solutions to solve business problems.
• Select appropriate machine learning or deep learning models based on problem context and data availability.
• Develop, train, test, and validate models using state-of-the-art methodologies and frameworks.
• Collaborate with analytics, developers and domain experts to acquire, clean, and preprocess large datasets.
• Engineer features and performs exploratory data analysis to ensure data quality and model readiness.
• Containerize models (Docker/Kubernetes), implement monitoring (Prometheus/Grafana), and automate pipelines (MLflow/Kubeflow).
• Implement models into production environments, ensuring robustness, scalability, and maintainability.
• Develop and maintain CI/CD pipelines for seamless model integration and deployment.
• Monitor and evaluate model performance post-deployment and iterate based on feedback and performance metrics.
• Document model architecture, development processes, and performance evaluations thoroughly.
• Share insights and technical know-how with team members to foster a culture of continuous learning and improvement.
• Research & Innovation: Stay ahead of AI trends (LLMs, generative AI) and advocate for ethical AI practices.
• Analyze large datasets to extract insights and improve model performance.
• Ensure compliance with data privacy and security regulations in all AI/ML initiatives.

• Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field.
• Proven experience (5+ years) in AI/ML engineering, with a strong portfolio of successful projects.
• Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)

• 401k matching
• Health insurance
• Tuition assistance
• Employee resource groups
• Collaborative workspaces

Athenahealth is a forward-thinking organization dedicated to leveraging cutting-edge technology to drive innovation and deliver exceptional solutions. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count.