About the Role
The individual in this position will lead the development of scalable AI models, integrate machine learning pipelines into production systems, and collaborate with cross-functional teams to solve complex challenges in healthcare delivery.
Responsibilities
- Design and deploy machine learning models for real-world clinical applications
- Optimize AI systems for performance, scalability, and reliability
- Work closely with data scientists and software engineers to integrate AI features
- Evaluate emerging AI frameworks and tools for potential adoption
- Ensure model outputs are interpretable and aligned with clinical workflows
- Contribute to end-to-end development from prototyping to deployment
- Maintain high standards for data privacy and regulatory compliance
- Troubleshoot and resolve issues in production AI environments
- Collaborate with product teams to define AI-driven feature requirements
- Document technical designs and system architectures clearly
- Participate in code reviews and uphold engineering best practices
- Monitor model performance and implement retraining strategies
- Support data pipeline development for training and inference
- Apply natural language processing techniques to clinical text data
- Develop testing frameworks for AI model validation
- Lead technical investigations into new AI methodologies
- Communicate progress and challenges to technical and non-technical stakeholders
- Ensure ethical considerations are addressed in AI design
- Stay current with advancements in AI research and healthcare technology
- Mentor junior engineers and contribute to team growth
Compensation
Competitive salary with equity and benefits package
Work Arrangement
Hybrid work model with flexibility for remote collaboration
Team
Collaborative team focused on advancing AI-driven healthcare solutions
About Us
We are a healthcare technology company dedicated to improving patient outcomes through innovative software solutions that support providers and expand access to care.
Our Mission
To transform mental health care by building technology that empowers clinicians and enables equitable treatment for all patients.
Available for qualified candidates requiring sponsorship
