Progressive Leasing is looking to hire a skilled Full Stack Machine Learning Engineer to join our team! 

WE ARE: Data Science Engineering is an upstart, cutting-edge technology group comprising Machine Learning Engineers and Data Scientists focused on building and maintaining systems, applications, and architecture supporting all areas of the business. In addition to supporting the leasing, credit card, and BNPL businesses, we have built and maintain an AWS-cloud based decisioning platform for Build and Vive. We believe in taking pride in our engineering, in the relentless pursuit of daily progress, and to bring others with you in your march to the future. We continuously experiment, fail fast, and constantly deliver. 

YOU ARE: As a Machine Learning Engineer (Remote), you will play a pivotal role in designing and developing MLOps architecture for real-time decisioning systems. We’re looking for someone who is committed to creating high-quality, stable, and fluid solutions that will be support Machine Learning and Data Science. We’ve established a friendly and collaborative development environment where all contributions are valued and rewarded. Innovation and creativity are of paramount importance to take our platforms to the next level. If you want to help refine processes and technologies that will reinvent technology in a constructive and collaborative environment, this is the place for you! 

This role is a work from home position and can be performed remotely anywhere in the continental US. 

YOUR DAY-TO-DAY: 

• Play a critical lead role in the design and development of a cloud-based MLOps ecosystem to enhance analytics and modeling throughout all of PROG Holdings 

• Work closely with the Data Science Team to understand the requirements and impact of requested solutions 

• Support and improve existing platforms while advocating for best practices in code quality and software development 

• Work within a hybrid infrastructure (on prem, AWS,) to ensure robust, scalable solutions 

• Understand and partner with business stakeholders throughout the enterprise 

• Demonstrate a high sense of ownership and accountability for work produced  

YOU’LL BRING: 

• Advanced proficiency with Python, specifically with data manipulation and machine learning libraries (e.g. pandas, sklearn, pytorch, etc.) 

• 2+ years of experience in ML platform development using AWS, with specific experience in Sagemaker, and Snowflake 

• 1+ years of experience with containerization and orchestration technologies, e.g. Docker and Kubernetes 

• 1+ years of experience with Infrastructure As Code (IaC) and configuration management tools, e.g. Terraform or AWS CloudFormation 

• 1+ years of experience with REST APIs and event driven architecture 

• 1+ years of experience working within a CICD paradigm using tools such as CircleCI and 

• Octopus 

• 1+ years of experience using Agile tools such as Jira 

• Proven track record of delivering cross-functional projects in a rapidly changing environment/scope 

YOU MIGHT ALSO HAVE: 

• Experience with C# and .Net Core 

• Experience with R 

• Experience with a variety of technologies such as Github, Artifactory, and Mend 

WE OFFER: 

• Competitive Compensation; eligible for STI 

• Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave 

• Company Matched 401k 

• Paid Time Off + Paid Holidays + Paid Volunteer Hours 

• Employee Resource Groups (Black Inclusion Group, Women in Leadership, PRIDE, Adelante) 

• Employee Stock Purchase Program 

• Tuition Reimbursement 

• Charitable Gift Matching 

• Job required equipment and services