Machine Learning Engineer, DonorSearch

• Proficiency in Python, PySpark, and AWS Glue
• Experience with machine learning platforms such as DataRobot or AWS SageMaker
• Hands-on experience with AWS cloud services
• Competency in visualization tools like QuickSight, Tableau, or Power BI
• Knowledge of ETL/data pipeline processes
• Familiarity with code testing and version control practices (preferred)
• Basic understanding of machine learning modeling techniques
• Excellent communication skills and a proven ability to collaborate effectively in remote teams

Desirable

• We are seeking a dynamic and collaborative Machine Learning Engineer to join our fast-paced team
• This role will focus on building and optimizing data pipelines, managing ETL processes, and supporting the implementation of predictive models
• You will collaborate closely with data scientists, developers, and stakeholders to enhance our AI-driven solutions
• Develop, deploy, and optimize data pipelines and ETL processes using Python, PySpark, AWS Glue, and other AWS services
• Collaborate with data scientists to operationalize machine learning models using DataRobot or SageMaker
• Create insightful and actionable visualizations using QuickSight, Tableau, or Power BI
• Ensure high-quality, reliable code through rigorous testing and documentation
• Identify and implement opportunities for improved efficiency and performance within our data infrastructure
• Work proactively within an agile team environment, contributing to sprint planning, execution, and reviews