SmarterDx builds clinical AI that empowers hospitals to achieve 100% chart accuracy for revenue integrity. Our solution helps hospitals tell the most accurate and complete story of the patient and the care that was delivered, which helps them recover millions in earned revenue and improve quality of care scores.
Requirements
- 8+ years of ML engineering or software engineering experience
- 5+ years delivering MLOps capabilities
- Experience leading software teams to deliver quality technical solutions
- Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch, Tensorflow)
- Experience with deploying and managing ML models in production environments, including familiarity with Docker, Kubernetes, or similar technologies.
- Experience with end-to-end machine learning project lifecycle, from data collection and model training to deployment and monitoring.
- Deployment of LLM systems into Production environments.
Responsibilities
- Design, build, and launch new ML capabilities to improve the overall quality and experience of software development at SmarterDx
- Champion MLOps and LLMOps practices across the organization
- Support our platform in production
- Drive out the strategy, roadmap, and architecture machine learning ecosystem.
- Provide tooling and capabilities for a data science and machine learning department
- Deploying and managing ML models in production environments
- Experience with end-to-end machine learning project lifecycle, from data collection and model training to deployment and monitoring.
Other
- Be accountable for all aspects of the team’s performance including velocity of feature delivery, quality, operational excellence, hiring, retention, professional growth, and well-being
- Foster a culture of clarity, alignment, and confidence to help the team deliver on goals effectively
- Excellent written and verbal communication skills
- Experience working at startups, especially in the health tech space
- Bachelor’s or Master’s degree in Computer Science or equivalent experience
- You're a former startup founder, or have managed a team at a fast-growing startup
- Experience running an agile process (preferably Kanban) for a team and fluency with the agile toolkit
