American Express

Senior Engineer II- AI/ML

Posted On

Jan. 7, 2025

Location

Gurugram, Haryana

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

March 23, 2025

Job Description

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.

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 senior AI/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.

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 alogrithms, 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 leading and mentoring other engineers
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

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
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
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

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.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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