American Express
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Coimbatore · On-site · 0-1 Yrs · 23 hours ago
Financial Transaction Processing · 10000+ Employees · New York, US
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. Check out the recent awards we’re proud of: • #4 on Great Place to Work's Best Companies to Work For - 2024 • Human Rights Campaign Corporate Equality Index Score of 100% (since 2004)- 2022 • Forbes America's Best Employers for Diversity - 2022 • Seramount 100 Best Companies - 2022 • Fast Company's 2022 Finance Brands That Matter
Hiring: Engineering
Interview experience · Apprentice
I went through two rounds of interview, first round with a trainer and second round with a manager. The trainer asked me behavioral questions to check if I fit the culture of the org and in addition to that I was also as
Average difficulty · Pune · 799 reports
More interview insightsJob description
Overview
American Express has an open AI/ML Intern role in Coimbatore for driven freshers and final-year students. You will work on real, production-facing projects and learn the exact skills and workflows top tech teams look for.
Responsibilities
- Build, test and ship real features using Python, Machine Learning, Deep Learning, TensorFlow
- Write clean, maintainable code and take part in code reviews
- Debug issues and improve performance and reliability
- Collaborate with engineers, designers and product on live projects
- Learn modern engineering practices — version control, CI/CD and agile
Qualifications
- is required: genuine curiosity, problem-solving ability and a willingness to learn matter far more than a polished CV.
- Who should apply: students in their final year or recent graduates based in or willing to work from Coimbatore, from B.E./B.Tech/BCA/MCA/B.Sc (CS/IT) or related backgrounds, who are curious, hardworking and excited to learn Python, Machine Learning, Deep Learning. Personal projects, hackathons or open-source work are a big plus.
- Expect to leave with hands-on experience across a modern tech stack, exposure to industry tools and workflows, and the real-world confidence that sets strong fresher engineers apart. Outstanding interns can convert to a full-time offer at the end of the internship.
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Job application FAQ
Last updated 13 October 2026
- How do I apply for AI/ML Intern at American Express?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. American Express may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI/ML Intern role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI/ML Intern remote or on-site in Coimbatore, Tamil Nadu?
- This listing is marked on_site with location Coimbatore, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this AI/ML Intern role at American Express?
- This is a entry-level / fresher AI/ML Intern role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.