Director

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 leading 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 within American Express Technology (AET), will report into the Vice President, Enterprise Services Decision Science Center of Excellence (CoE).

• Drive AI and decision science vision, strategy, and execution across the organization
• 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
• 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 all levels
• Actively participate in business and technical discussions and forums across Amex

• Master’s 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.
• 8+ years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
• 8+ 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, H20.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.