AI Engineer Enterprise Data Management and AIML Engineering
American Express4 months ago
Phoenix, AZ, United States
Hybrid
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
At American Express, our Machine Learning team is spearheading a transformation to build a customer-first ecosystem on the Cloud by democratizing Machine Learning. In this role, you will design, develop, and deploy reusable AI/ML components for document and image processing, NLP, and Chatbots – directly impacting millions of colleagues and customers while advancing your career in a dynamic, innovative environment.
Key Responsibilities
- Collaborate with AI/ML Research teams, Data Scientists, and Product Owners to analyze business features and support design and build activities.
- Develop architectures, prototypes, and new code including APIs, performing unit and assembly testing as needed.
- Code and implement reusable ML solutions.
- Deploy, support, and monitor software across test, integration, and production environments.
- Combine data science and engineering skills to solve impactful challenges.
- Help shape the direction of Machine Learning and artificial intelligence at American Express.
Required Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Statistics or a related field.
- 3 to 5 years of software development experience.
- Strong analytical and programming skills with experience deploying applications in production environments.
- 3+ years of hands-on experience with JAVA, Python, Big Data (Spark/Hive/Hbase), SQL/NoSQL, REST APIs, and continuous integration/delivery tools (JUnit, TestNG, Jenkins, Git, etc.).
- Experience working with cross-functional teams and effective communication with business partners.
Benefits & Perks
- Salary Range: $89,250.00 to $150,250.00 annually + bonus.
- 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 based on role and business needs.
- 20+ weeks paid parental leave for all parents.
- Free access to global on-site wellness centers (location dependent).
- Free and confidential counseling support through our Healthy Minds program.
- Career development and training opportunities.
Required Skills
Git
TestNG
SQL/NoSQL
REST APIs
Chatbots
Python
JUnit
Jenkins
Java
NLP
Machine Learning
Big Data (Spark/Hive/Hbase)