Machine Learning Engineer (J00128479)

Website EquifaxCareers Equifax

Smarter insights for smarter decisions.

As a Machine Learning Engineer at Kount, an Equifax Company, you will solve challenging technology problems and build architecturally sound, high-quality software that moves data through models to make automated decisions. You will achieve success through communicating, collaborating, and developing creative and performant solutions to help Kount provide certainty in every digital transaction for our customers. You should be a creative, driven, motivated engineer that can think outside the box, has the ability to learn quickly, and can deliver high-quality working solutions that are both maintainable and scalable. You will work with data scientists to develop requirements for novel algorithms and with operations and quality assurance functions to reduce data transformation pipelines and machine learning models to practice.

Who is Kount? 

​Kount, an Equifax Company, delivers digital fraud prevention and account protection for more than 9,000 leading brands and payment providers. Linked by Kount’s award-winning AI, the Identity Trust Global Network analyzes signals from 32 billion annual interactions to personalize experiences across the spectrum of trust — from ensuring frictionless experiences to blocking fraud. Quick and accurate identity trust decisions deliver safe payment, account creation, and login events while reducing digital fraud, chargebacks, false positives, and manual reviews.

At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.

We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.

The perks of being an Equifax employee?

  • We offer excellent compensation packages with market competitive pay, comprehensive healthcare packages, 401k matching, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential.
  • Grow at your own pace through online courses at Learning @ Equifax.

What you’ll do: 

  • Design platforms and pipelines for training and running machine learning models.
  • Understand business objectives and develop models to achieve those objectives along with metrics to track their progress.
  • Productionize machine learning models by building performant data transformations, storage, and pipelines.
  • Demonstrate effective, respectful, and honest communication when collaborating with colleagues including a cross-functional team consisting of QA, Operations, and other team members.
  • Apply development and testing best practices and demonstrate excellent software craftsmanship to produce maintainable, scalable, and quality solutions.
  • Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment.
  • Deliver on company initiatives and projects prioritized for your team and support long term technical vision.
  • Collaborate with the product team, architects, and others to document features and changes.
  • Participate in peer design and code reviews.
  • Show determination and discipline in identifying and driving forward improvements and innovations that add value and move the IT organization forward.

Qualifications:

  • BS/MS in Computer Science, Engineering, Data Science or equivalent combination of skills & experience
  • 2+ years of software engineering and software architecture background in languages such as Java,
    C/C++, Python, or Go.
  • 1+ years of experience as a Machine Learning Engineer or equivalent experience.
  • 1+ years of experience building RESTful APIs and/or microservice architecture.

Extra points for any of the following:

  • Experience building models using a machine learning framework such as Spark MLlib, TensorFlow, and Scikit-learn.
  • Experience deploying machine learning models to a production environment.
  • Solid understanding of probability, statistics, and machine learning algorithms such as linear regression and decision trees.
  • Experience working closely with Data Scientists.
  • Familiarity with monitoring and evaluating model performance including evaluation speed and ROC curves.
  • Ability to think abstractly and deal well with ambiguous/undefined problems.
  • Excellent communication skills and desire to work in a collaborative team environment.
  • General knowledge of HTML, REST, HTTP, CSS, and JavaScript a plus.
  • Experience with distributed systems, relational databases, and NoSQL systems a plus.
  • Knowledge and experience in Apache, Linux, and UNIX tools/utilities a plus.Experience working in and building distributed computing environments such as Spark.
  • Experience with OWASP, PCI Data Security, and Amazon Web Services a plus.

Success attributes of an Equifax employee; does this describe you?

  • Accountability
  • Bravery
  • Curiosity
  • Collaboration
  • Think and act differently
  • Trust
  • Ownership
  • Decide-Execute-Ship

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like somewhere you want to work, don’t delay, apply today – we’re looking for you!

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