Senior Software Engineer, Machine Learning

SmarterDx is a company focused on transforming how hospitals connect clinical context with revenue intelligence through clinical AI. They are seeking a Senior Machine Learning Engineer to advance their clinical AI initiatives and support model experimentation and development.

Responsibilities:

• Deploy and maintain machine learning models and pipelines in production environments
• Work closely with data scientists, data engineers, and application engineers to integrate ML models into the broader SmarterDx platform
• 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

Requirements:

• 5+ years of experience in machine learning engineering or MLOps roles
• Strong proficiency in Python and SQL, with experience in machine learning libraries (e.g. PyTorch, Tensorflow) and data manipulation (e.g., pandas, Polars, SQL)
• 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
• Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment
• 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
• Contributions to open-source projects or active participation in the machine learning community
• Previous work in the healthcare sector or related fields