Senior Machine Learning Engineer

This opportunity allows you to influence healthcare outcomes through advanced AI and machine learning. Accountabilities include:

• Leading AI initiatives and developing machine learning models to leverage organizational data.
• Designing and maintaining scalable ML infrastructure and pipelines for model training, evaluation, and deployment.
• Establishing data engineering best practices and ensuring data accessibility across teams.

Requirements for the role include:

• 5+ years of software engineering experience with a focus on production-grade machine learning systems, MLOps, or backend infrastructure.
• Proficiency in Python and SQL, with strong software engineering practices for maintainable ML code.
• Hands-on experience with modern LLMs, transformers, and production deployment of ML models.