You Lead the Way. Weve 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, youll learn and grow as we help you create a career journey thats unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, youll be recognized for your contributions, leadership, and impactevery colleague has the opportunity to share in the companys success. Together, well win as a team, striving to uphold our company values and powerful backing promise to provide the worlds best customer experience every day. And well do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to use Data Science, A.I./Machine Learning, and Technology skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide.
Join Team Amex and let's lead the way together.
If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to use Data Science, A.I./Machine Learning, and Technology skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide.
You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field.
This role resides within American Express Technology (AET) Enterprise Services Decision Science Center of Excellence (CoE).
Responsibilities:
· Combine A.I./Machine Learning and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
· Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale.
· Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
· Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
· Drive both high-level and detailed technical designs and conduct design reviews as needed
· Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
· Provide technical mentorship to team members at junior levels
· Actively participate in business and technical discussions and forums across Amex
Qualifications:
· Masters Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields. PhD degree preferred.
· Proven track record on producing outstanding research results (Journal and/or Conference publications, and patterns) is a must.
· 5+ years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
· 5+ years of experience in building and delivering sophisticated solutions that leverage various AI solutions, machine learning algorithms or technologies and are able to scale optimally.
· Expert in at least one of the following fields:
o Generative AI
o Machine Learning
o Deep Learning
o Reinforcement Learning
o Natural Language Processing
o Optimization
o Probabilistic Inference
o Information Retrieval
o Recommendation Systems
o Bayesian Inference
o Advanced time series forecasting
· Hands-on Experience with most of the following open-source solutions:
o Orchestrate: Airflow, Kubeflow Pipelines, ML Run
o Container: Docker, Kubernetes, Mesos + Marathon
o Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
o Observability: Prometheus, Grafana, Elasticsearch
o Development:
§ Programming Language: Python, Java, Scala, Julia
§ IDE: Notebooks, PyCharm, VS Studio
§ Machine Learning: TensorFlow, Keras, ScikitLearn, H
- ai, XGBoost, MXNet
§ Feature Store: Hopsworks, Feast, or other purposed built Feature Store
§ Model Format: ONNX, PMML
· Ability to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organization
· Solid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environment
· Hands-on Experience with GCP and/or AWS 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
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
