Civitas Learning
Helping colleges and universities build data-activated student impact strategies to advance student success every day
Predictive Analytics • Education Analytics • Higher Education • Academic Outcomes • Big Data Analytics
51 - 200
Machine Learning Engineer
June 3
Civitas Learning
Helping colleges and universities build data-activated student impact strategies to advance student success every day
Predictive Analytics • Education Analytics • Higher Education • Academic Outcomes • Big Data Analytics
51 - 200
Description
• Build and maintain scalable and performant machine learning models from analysis to production pipeline. • Ability to perform both new feature development and maintenance on all Civitas machine learning models and pipelines. • Ability to validate new and existing machine learning models to ensure they are operating within acceptable thresholds. • Ability to work across multiple products and engineering teams to resolve customer issues. • Perform ad hoc statistical analysis and machine learning investigation. • Lead other talented engineers in software engineering design and best practices with a focus on customer satisfaction.
Requirements
• 5-10+ years of software engineering, data science, and/or statistical analysis • Experience in designing, debugging, and building modern machine learning algorithms and pipelines • Must have expertise in some of the following: Statistical analysis Python/Scala/R Pytorch/Pandas/TensorFlow/Scikit Metaflow/MLFlow/Jupyter Notebooks RDBMS (PostgreSQL, SQL Server, Oracle, DB2, etc.), being proficient with SQL Intermediate English reading level • Experience with some of the following is a huge bonus: AWS Docker DuckDB Redshift Quicksight
Benefits
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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