Embedded and supporting a revenue generation or cost optimization project, ensuring its success in production by improving the code, creating automated CI/CD testing, and developing frameworks that can be reused for other similar projects.
Build, maintain, and document machine learning frameworks (python packages) used across multiple projects.
Support a project team with Data Scientists, Business Stakeholders, Analysts, and Data Engineers.
Develop reusable feature stores for rules-based and AI/ML models.
Implement monitoring capabilities for model performance and effectiveness in production.
Automate CI/CD testing and deployments incorporating MLOps best practices.

Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field.
5+ years of overall experience in Data Analytics.
Sharp critical thinking skills and ability to learn and question complex processes and solutions.
Experience building scalable machine learning systems and data-driven products working with cross-functional teams.
Experience creating python packages.
Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages.
Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark).
Proficiency in SQL.

Machine Learning Engineer

Key skills