Machine Learning Operations Engineer

Key Skills

logo, Ruby on Rails, Java Programming, Design, Python Programming, SQL, Git, AWS, Machine learning techniques, Amazon Elastic Compute Cloud-EC2, Lambda, Amazon Simple Storage Service (S3)

Job Description

Our Analytics team builds models that make millions of real-time decisions on our website every single day. Those models don’t deploy or run themselves though. That’s where our Analytics Platform Engineer comes in. As an Analytics Platform Engineer you will design, develop, test and enhance Enova’s internal tools that enable the team to seamlessly build, deploy and monitor analytical models. You will use cutting-edge machine learning algorithms to improve automated model building pipelines. Enova has built a world-class real-time decisioning platform to power our lending decisions and you’ll be contributing to its continued growth and improvement by writing production quality code.

What you’ll be doing:

• Using your advanced programming skills and the ability to design, develop and test programs for custom tool development
• Supporting analytics releases to ensure they are quickly and accurately put into production
• Enhancing Enova’s real-time decisioning platform by adding new functionalities
• Providing operational support for the various custom tools used by our Analytics team
• Coordinating with Software Engineers and serving as the liaison to them on behalf of the Analytics team
• Manage a small team of engineers

We’re excited about you if you have:

• Bachelors, Masters, or Doctorate degree in Computer Science, Engineering or related degree or equivalent experience
• 3+ year experience providing operational support for high-availability low-latency production applications in both on-premise and cloud environments
• Advanced programming skills and the ability to design, develop and test customized tools. Knowledge of either Python, Go, or Ruby is preferred.
• Experience working with Git, CircleCI, Terraform or equivalent deployment infrastructure tools
• Knowledge of AWS technologies (S3, Lambdas, EC2)
• A demonstrated capacity to learn new languages and technologies quickly
• Ability to practice software development best practices
• Ability to work with product managers to translate stakeholder requirements
• Familiarity with regression and machine learning techniques is a plus

About the Analytics team:

We live and breathe data at Enova, and our 100+ person Analytics team is at the heart of it all. They use cutting-edge machine learning and advanced modeling techniques to drive business value in a number of different ways. Depending on the team, that could mean building a state-of-the-art credit risk model; it could mean spotting patterns in data that indicate fraud; it could mean researching a brand new type of algorithm we’ve never even used before. Whatever it is, it’ll typically be used to make real-time decisions on our website. What makes us different from Analytics teams elsewhere? We’re language agnostic here which means YOU get to pick the tool that works best for you and the analysis at hand. The team primarily uses Python, R, SAS, and SQL but if you think another tool is right for your project, go for it.

About Enova:

Enova is a leading financial technology company providing online financial services through its AI and machine learning powered lending platform. Enova serves the needs of non-prime consumers and small businesses, who are frequently underserved by traditional banks. Enova has provided more than 7 million customers with over $40 billion in loans and financing with market leading products that provide a path for them to improve their financial health. Want to learn more? Just ask any of our almost 1,500 employees.