American Express

Machine Learning Engineer

Job description

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way.

When you join Team Amex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day. Here, you’ll learn and grow as we champion your meaningful career journey with programs, benefits, and flexibility to back you personally and professionally. Every colleague share in the company’s success.

Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to our customers, communities, and each other every day. And we’ll do it with integrity and in an environment where everyone is seen, heard and feels like they truly belong.

Join #TeamAmex and let’s lead the way together.

How will you make an impact in this role?

As an Engineer in Machine Learning team you will be responsible for creating and delivering technical solutions and capabilities on the platform to support the Model Governance journey by building an integrated experience for our Modelers and Analysts and improving the compliance to regulatory standards. You will be challenged with identifying innovative ideas and proof of concepts to deliver against the existing and future needs of our customers.
  • Working closely with AI/ML Research teams, Data Scientists and Product Owners in analyzing business features and refining them to appropriately support design and build activities.
  • Performing all technical development for assigned applications including architecture, design, developing prototypes, writing new code and API's and performing unit and assembly testing of developed software also as needed
  • Coding and technical implementation of re-usable solutions
  • Enabling the deployment, support, and monitoring of software across test, integration, and production environments
  • Combine Data Science and Engineering skills to solve challenging problems

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. American Express offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology of #TeamAmex.

Minimum Qualifications
  • Bachelor’s degree in Computer Science, Computer Engineering, Statistics or related fields.

  • 1+ years of software development experience in JAVA, Python, PostgreSQL and related technologies/frameworks
  • Strong analytical skills and programming skills, with experience with deployment in production environment.
  • Experience of CI/CD using tools and automation capabilities such as JUnit, Mocking, Jenkins, Git,
  • Understanding and experience with UNIX / Shell scripting
  • Hands-on experience in Python, Big Data Technologies (Spark/Hbase/Hive)

Preferred Qualifications
  • Good understanding of container technologies (Docker/Kubernetes)

Salary Range: $70,000.00 to $135,000.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

We back our colleagues with the support they need to thrive, professionally and personally. That’s why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers/Employees - Click here to view the “EEO is the Law” poster and supplement and the Pay Transparency Policy Statement.

Non-considerations for sponsorship:

Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Considerations for sponsorship:

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

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