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At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
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 on #TeamAmex.
Focus: Build & maintain Machine Learning models to solve business problems. Develop scripts to integrate those models into application flow. Maintain excellent documentation.
American Express is looking for an energetic, impactful ML engineer to help shape our technology and product roadmap. You will be part of the fast-paced team that enables ML/AI based solutions using ground-breaking technologies to deliver innovative solutions across multiple lines of business.
Responsibilities
- Combine Data Science and Engineering skills to solve interesting problems that directly and greatly impact our business processes.
- Be able to understand and abide by model development standards and support governance review, internal and external audits.
- Performing development for assigned applications including architecture, design, developing prototypes, writing new code and API's and performing unit and assembly testing of developed software as needed.
- Conduct code and architectural reviews and guide the team in designing and developing products with quality consistently.
- Network with other AI/ML teams in the company and exchange standard processes.
- Enabling the deployment, support, and monitoring of AI/ML models and supporting software across test, integration, and production environments.
- Help craft the direction of machine learning and artificial intelligence at AmEx.
Qualifications
- Bachelors or higher degree in Data Science, Computer Science, Information Systems, Engineering or related field
- Hands-on experience in building and deploying AI/ML models including Generative AI, LangChain and NLP
- In-depth knowledge of machine learning algorithms, software architecture, libraries and frameworks to create AI that accomplishes outlined goals
- Rigorous knowledge of Python programming to develop software. Java is a plus.
- Skillful in developing and maintaining detailed, easy-to-read documentation including data dictionaries, model documentation, and code documentation
- Experience in collaborating with other engineers and teams
- Experience in integrating AI/ML into existing applications in batch and realtime
- Effective verbal and written communication skills to collaborate within and outside the team
- Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes) and optimizing data pipelines. Experience with NoSQL is a plus
- Experience in Big Data ecosystem including Map-Reduce, Hive, Spark (core, SQL and pyspark) and UNIX shell scripting
- Experience with GitHub and leveraging CI/CD pipelines
- Experience in taking models through AI/ML governance in highly regulated industry is a plus
Salary Range: $85,000.00 to $150,000.00 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.
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
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 “Know Your Rights” poster and the Pay Transparency Policy Statement.
If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters.
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.
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