American Express Careers

Engineer - Python Machine Learning

Sunrise, Florida
Digital Commerce Technology

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Job Description

American Express is embarking on an exciting digital transformation driven by an energetic team of high performers. This group is nimble and creative with the power to craft our Technology and Product roadmap. If you have the talent and dream to deliver creative products and services at a rapid pace, serving our customers seamlessly across the globe, join our team!
We are seeking an Engineer to support the Global Servicing Big Data technical organization responsible for the Big Data and Machine Learning technical solutions to meet the analytics and insights needs of our World Service organization. As an Engineer, you will be a member of a product delivery team responsible for coding assignments with a variety of components on different tech stacks –Amex proprietary Big Data ecosystem (Cornerstone), Redhat Openshift (Amex Paas), Python.
Principal Responsibilities:
  • Entry level ability in software development, such coding assignments
  • Function as member of an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation)
  • Participate in code reviews and automated testing
  • Debug basic software components and identify code defects for remediation
  • Enable the deployment, support, and monitoring of software across test, integration, and production environments
  • Automate deployments in test or production environments


Up to 5 years development experience in a professional environment and/or comparable experience such as:
  • Bachelor’s Degree in computer science, computer science engineering, or related field required; advanced degree preferred.
  • Proficient in objected oriented analysis and design across a variety of platforms.
  • Proficient and proven hands on working experiencing in the Python scripting language, at least one popular Python framework (like Django, Flask or Pyramid).
  • Familiarity with Python libraries such as Numpy, Pandas, Scipy, Matplotlib, NLTK.
  • Ability to collaborate with designers to convert prototype into working applications that adhere to the design vision.
  • Deep understanding of XML, JSON, Web Service technologies, and data structure fundamentals.
  • Experience in batch, streaming and real-time platforms.
  • Experience with DevOps tools, automating engineering and operational tasks.
  • Experience with a broad range of software languages, open source tools and products and financial business domain knowledge will be a plus.
  • Shown experience in Big Data and Machine Learning technologies such as SQL.
 Why American Express

There’s a difference between having a job and making a difference.

American Express has been making a difference in people’s lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards.

We’ve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they’re ready to take on a new career path, we’re right there with them, giving them the guidance and momentum into the best future they envision.

Because we believe that the best way to back our customers is to back our people.

The powerful backing of American Express.
Don’t make a difference without it.
Don’t live life without it.

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


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

US Candidates/Employees: Click here to view the 
"EEO is the Law" poster and supplement and the Pay Transparency Policy Statement.


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ReqID: 18016070
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Oct 12, 2018, 11:31:32 AM
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