SmarterDx is looking for a Staff Machine Learning Engineer to build a best-in-class ML Ecosystem to advance their product suite with clinical AI, aiming to empower hospitals to analyze patient records for revenue recovery, care quality improvement, and operational optimization.
Requirements
- 10+ years of development experience with a focus on Machine Learning and MLOps roles
- 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.
- Understanding of CI/CD best practices for machine learning, including automated testing and deployment pipelines.
- Experience with cloud platforms (preferably AWS) and their machine learning services.
- Familiarity with infrastructure as code (e.g., CDK, Terraform) and configuration management tools.
- Strong understanding of data engineering and architecture principles.
Responsibilities
- Craft, implement, and maintain MLOps tools and practices, including continuous integration, delivery, and monitoring of machine learning systems.
- Optimize model performance and scalability, ensuring high reliability and efficiency.
- Build tools to improve the lives of our data scientists.
- Contribute to the design and architecture of our ML systems.
Other
- This role is fully remote within the US
- Experience project managing a small team using a modern agile methodology
- Experiencing influencing a cross-disciplinary organization to adopt best practices
- Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment.
- You're a former startup founder, or have been the first engineering hire at a startup
- Experience in the health tech domain, particularly in hospital billing systems
- Deployment of LLM systems into Production environments.
- Contributions to open-source projects or active participation in the machine learning community.
