Machine Learning Engineer

Key Skills

Python Programming, SQL, Cloud computing

Job Description

As an Analytics Machine Learning Operations Engineer you will design, develop, test and enhance Enova’s internal tools that enable the Analytics team to seamlessly build, deploy and monitor analytical models. You will use your programming and problem-solving skills to improve automated model building and hosting pipelines. Enova has built a world-class, real-time decisioning platform to power our lending decisions and you’ll have the opportunity to contribute to its continued growth and improvement by writing production-quality code.

What you’ll be doing:

• Use your advanced programming skills and the ability to design, develop and test programs for custom tool development
• Assist analysts in testing and preparing their models for production
• Support model releases to ensure they are quickly and accurately put into production
• Enhance Enova’s real-time decisioning platform by adding new functionalities
• Monitor model performance dashboards and escalate concerns as appropriate
• Support and improve automated model training processes by using your infrastructure, data manipulation, and machine learning skills
• Explore cutting edge tools and new machine learning technologies to assess their suitability and create Proof-Of-Concept solutions to demonstrate value to business stakeholders

We’re excited about you if you have:

• A Bachelors, Masters, or Doctorate degree in Computer Science, Engineering, Statistics, or related degree
• Advanced programming skills and the ability to design, develop and test customized tools. Knowledge of one or more of the following is preferred: Python, R, Go
• Experience working with AWS, Linux/Unix, Docker, and Kubernetes
• Experience providing operational support for high-availability, low-latency production applications in both on-premise and cloud environments
• Knowledge of AWS machine learning technologies (SageMaker, EMR, Glue)
• A demonstrated capacity to learn new languages and technologies quickly
• Knowledge of regression and machine learning techniques