Senior Machine Learning Engineer

Job Summary

To support the advancement of data science initiatives, the full-time remote Senior Machine Learning Engineer will independently develop and deploy scalable machine learning models, bridging research and production while providing technical mentorship to ML Engineers and data teams.

Key responsibilities

• Own and implement end-to-end ML workflows, including model versioning, testing, and automated deployment pipelines
• Develop and deploy robust machine learning models to meet operational and clinical objectives
• Conduct data analyses of large datasets to provide insights for strategic planning and resource allocation

Required qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field; Master's degree preferred
• Minimum of five years of experience in ML Ops or DevOps
• Experience with Python for machine learning model development and SQL, Databricks, and PySpark for data manipulation
• Proficiency in ML Ops tools and practices, including MLflow, Docker, and Azure ML
• Familiarity with cloud computing platforms, preferably Azure, for deploying data science solutions