Engineer - Python, NoSQL - Machine Learning Platform

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

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. Amex 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.

The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments.

How will you make an impact in this role?
Responsibilities:

• Lead the Discovery, Development and Maintenance of scalable AI driven capabilities in the area of Document AI, Computer Vision, NLP, Chatbots (Conversational AI)
• Research and Deploy AI and Gen AI solutions to power enterprise business needs
• Partner with Research teams to take AI enabled initiatives from conceptualization to production
• Create data pipelines that feed machine learning models through out the model lifecycle including training, inference ,HITL and re-training .
• Closely follow research and open-source developments/publications and apply them.
• Drive high-level and detailed technical design conversations and reviews
• Function as an active member of an agile team

 Qualifications:  

• BS or MS degree in computer science, computer engineering, or other technical discipline.
• Strong proficiency in Python language, machine learning libraries and SQL
  Core competencies in distributed technologies including Python frameworks, API Design, Linux, JSON, Postgres, NoSQL databases etc.
• Demonstrated experience in building and deploying a diverse set of ML models including vision and NLP based models at scale
• Experience in designing and implementing highly scalable, low latency Python applications.
• Familiarity with CI/CD pipelines and DevOps tools (Jenkins, GitLab).
• Proficiency with Containers (Docker) and orchestration (Airflow, Kubernetes)
• Practical knowledge of caching and distributed systems.
• Team player and a hands-on engineer.
• Ability to think abstractly and deal with ambiguous/under-defined problems.
• Have excellent written and verbal communications skills.

Preferred Qualifications :

• 5 years of software development experience
• Hands-on experience in GCP/AWS/Azure cloud is a preferred
• Experience in deploying Gen AI use cases using Foundational LLMs and RAG pipelines
• Experience in Financial Services 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.

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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