Join Team CARFAX as a Software Engineer - MLOps
Isn't it time you bragged about where you work? At CARFAX, we do, every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We’re more than just a company: We help millions of consumers make more-informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment.
At CARFAX, we believe in the power of teamwork and value in-person interactions so that we can collaborate and thrive together. This position will require 2 days in the London, ON office per week, subject to change with future business needs.
As a Software Engineer – MLOps, you will be a part of the CARFAX Data & AI / ML team. You will be working collaboratively with ML Engineers and Data Scientists to build and scale machine learning solutions, platforms, and pipelines to support machine learning initiatives at CARFAX. Leveraging the latest techniques and tools, this unique opportunity will aim to unlock the hidden potential in billions of records and enrich the quality of data provided by our automotive reporting products delivered daily to consumers across the globe.
Note: This role will not be involved in building, developing any machine learning models.
What you'll be doing:
- Work in a team environment using Agile practices
- Utilize Test Driven Development, Paired Programming and Continuous Integration
- Innovate new ideas to evolve our applications and processes
- Participate in the design and development of our machine learning end-to-end solutions
- Develop high performing data streams and APIs to guarantee fast and accurate delivery
What we're looking for:
- Bachelor’s degree or diploma in Computer Science, Computer Engineering (or related fields of study)
- Experience building algorithms using Python
- Software engineering skills: version control, build pipelines, object-oriented programming, coding standards, code reviews, and testing
- Experience with containerization & microservices (e.g. Docker) for ML model deployment
- Experience with AWS (e.g. EC2, VPCs, Lambda, API Gateway, etc.)
- CI/CD pipeline automation experience with Jenkins, GitLab, or AWS Code Build
- Experience with Test Driven Development (TDD)
Preferred Experience:
- Experience designing and building machine learning solutions to solve business problems (e.g. end-to-end architecture, design alternatives and trade-offs, third-party products integrations, etc.)
- Any experience with MLOps platforms, eg. Containerization.
- DevOps expertise with tools such as Kubernetes, Artifactory, AWS CloudFormation, AWS CDK
- Relational and NoSQL database systems experience
- Shell scripting experience
- Experience with parallel processing on GPU machines (e.g. multiprocessing, distributed ML training, etc.)
Nice-to-have:
- Experience building and releasing SDKs
- Experience with ML frameworks (e.g. Tensorflow, Torch)
- Orchestration experience (tools like Tecton, Airflow, MLFlow, Luigi, Apache Beam, Kubeflow, etc.)
- Solid grasp of machine learning fundamentals (classification and regression models, model monitoring and validation)
What’s in it for you:
- Competitive Compensation: Attractive salary, comprehensive benefits, and generous time-off policies.
- Flexible Work Schedules: Enjoy 4-day summer work weeks and a winter holiday break.
- Retirement Support: 401(k) / DCPP matching.
- Performance Rewards: Annual bonus program to recognize your contributions.
- Innovative Workspace: Casual, dog-friendly offices designed for creativity and collaboration.
Hear from our Team: Our accolades speak for themselves:
- 10X Virginia Business Best Places to Work
- 9X Washingtonian Great Places to Work
- 9X Washington Post Top Workplace
- St. Louis Post-Dispatch Best Places to Work