Engineer I
American Express
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.
How will you make an impact in this role?
Responsibilities include, but not limited to:
- The Ideal candidate will be responsible for Designing, Developing and maintaining machine learning development pipelines.
- Adopt emerging standards and review processes while promoting best practices and consistent framework usage and review processes with our AIML Goverance team
- Serving as a core member of an agile team that drives user story analysis and elaboration, designs and develops responsive web applications using the best engineering practices.
- You will closely work with data analysts and other partners to ensure development of robust models and machine learning applications.
- You will be Building and optimize reports for analytical and business purposes.
- Monitor and solve data engineering issues to ensure smooth operation.
- Implementing data quality checks and validation process to ensure the accuracy, completeness, and consistency of data.
- Implementing data governance policies , access controls , and security measures to protect critical data and ensure compliance.
- Developing deep understanding of integrations with other systems and platforms within the supported domains.
- Bring a culture of innovation, ideas, and continuous improvement.
- Challenging the status quo, demonstrating risk taking, and implementing creative ideas
- Manage your own time, and work well both independently and as part of a team.
- Work with Product Owners to define requirements for new features and plan increments of work.
Preferred Qualifications
- Machine Learning and Data Analytics skills - Good knowledge of machine learning methods. Understanding of data analysis tools e.g. PowerBI and Tableau.
- Demonstrated experience of developing and defending Machine Learning, AI, or statistical models
- BS or MS degree in computer science, computer engineering, data science or other technical subject area or equivalent 5+ years of work experience
- Hands-on experience with SQL, including schema design, query optimization and performance tuning.
- Experience with distributed computing frameworks like Hadoop, Hive, Spark for processing large scale data sets.
- Proficiency in any of the programming language python, pyspark for building data pipeline and automation scripts.
- Understanding of cloud computing and exposure to any cloud GCP,AWS or Azure.
- knowledge of CICD, GIT commands and deployment process.
- Understanding of AI tools.
- Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues and optimize data processing workflows
- Excellent communication and collaboration skills.
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.