Senior Machine Learning Operations Engineer
Remote / Flexible
Data & Advanced Analytics – Data and Autonomous Systems - ML Ops /
Remote
Best Egg is a consumer financial technology platform that aims to help people feel more confident about their everyday finances through a suite of products and resources. Our digital financial platform offers simple, accessible, and personalized financial solutions including personal loans, credit cards, and a financial health resource center.
Our culture and values are one of the core reasons why our customers keep returning to Best Egg. We are committed to championing a culture of inclusiveness and diversity of thought, and we focus on providing a safe, flexible, and collaborative work environment. Our associates are encouraged to engage in creative problem solving, and we promote opportunities for growth and enrichment across the organization.
If you are inspired by inspiring others, Best Egg is the place for you.
Best Egg promotes diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we will grow
Our Operations Associate team is crucial to our customer-centric business operations. We stand by principles of quality, customer satisfaction and delivering best in class customer service.
Operations Associate roles are all full-time, non-exempt positions where you work an hourly schedule (posted in the description below) and receive paid time off benefits and monthly incentives based on performance. In order to work remotely, you must have access to high speed internet and a quiet area to work as we need to limit background noise while interacting with customers. We will provide you with a computer, monitors, headset and all equipment you will need.
The training process is during your first three weeks 8am-5pm EST, we ask that you do not plan any days off during this three week period to ensure you receive all of the necessary training.
Our headquarters is located in North Wilmington offering state of the art technology, comfortable working areas, an on-site gym, free snacks & drinks, food trucks and happy hours on Wednesdays and a bit of fun in our ping pong and arcade areas.
At this time we are hiring new associates that live within a 50 miles distance to our headquarters building for the opportunity to either choose to work on-site, hybrid or work remotely and occasionally interact with the team at events if desired.
Data is at the heart of everything we do. Join a Data & MLOps team working at the cutting edge within our industry and constantly advancing our ML/AI practice. Working with dedicated Data Science partners we are creating machine-learning models that power innovation and creative insights pioneering new products and helping our business reach the next level. We work on diverse projects across all business units within the company and have a direct engagement model between data engineers, data scientists, software engineers, and business stakeholders.
Join a collaborative group of Data Scientists skilled in predictive analytics and help them to deploy and monitor real-time production-grade models in projects spanning the business from credit risk, direct marketing targeting, fraud operations, and many more! Enjoy the stability of a profitable, award-winning Fintech and challenge yourself with plenty of growth and upward mobility within a data rich environment. Be a part of a growing team using the latest tools and technologies to disrupt the industry and empower our customers to reach their financial goals.
Role Highlights
- Take ownership of an ML deployment system spanning multiple production environments and continue to research efficient and effective strategies.
- Improve, expand, and streamline our existing deployment pipelines to help support faster deployments and automated model retraining.
- Collaborate with Data Scientists to understand model requirements and provide guidance to ensure a seamless integration with production environments
- Develop automations that empower the data scientists to self-serve, remove manual steps from our processes, and streamline their training processes
- Build and maintain production level inference environments, including low latency real-time APIs and batch predictions, and monitor these environments to ensure we conform to our SLAs regarding uptime, resiliency, and latency
- Work with modern CI/CD tools to help deploy ML/AI models at scale in a production setting.
- Enjoy a great company culture rich in collaboration, teamwork, no politics, learning, and frequent wins
To be successful in this role:
- At least five (5) years of professional engineering experience or work program equivalents in a relevant field
- Experience in operationalization of Data Science projects (MLOps) on AWS, specific experience with EKS, Lambda, Step Functions, and Sagemaker
- Experience designing, building and operating container-based cloud infrastructure with Terraform and other infrastructure-as-code tools in a production setting
- Experience in CI/CD pipeline implementation; experience with ArgoCD, Argo Workflows and Github Actions a plus
- Proficiency in Python used both for ML and general software engineering tasks. Good knowledge of Bash and Unix command line toolkit
- Extensive knowledge of the machine learning development lifecycle and associated tooling; demonstrated experience with Metaflow, Flyte, Kubeflow, etc.
- Demonstrated experience building production-grade, RESTful APIs for ML products; experience building data scientist tooling a plus
- Ability to work in a fast-paced environment and strong technical communication skills
- Enjoy a culture rich in direct communication, no politics, and continual learning - where we celebrate success and have fun too
$180,000 - $200,000 a year
This position is also eligible for an annual incentive bonus based on individual and company performance. Yearly incentive bonus target 20% of base salary. This position may also be eligible for a LTIP bonus.
