Director - Data Science at American Express, Singapore
Director - Data Science at American Express in Singapore. Apply with swipeandhired.
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.