Director - Data Science
at American Express
Singapore, Southeast, Singapore -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 08 Nov, 2024 | Not Specified | 09 Aug, 2024 | N/A | Keras,Information Systems,Python,Career Development,Pycharm,Doctors,Information Retrieval,Machine Learning,Engineering Leadership,Computer Engineering,Regulations,Elasticsearch,Algorithms,Computer Science,Marathon,Kubernetes,Julia,Deep Learning | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
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).
QUALIFICATIONS:
- 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.
QUALIFICATIONS
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.
Job ID 24002295
Responsibilities:
- 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
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer Science, Engineering, Information Systems, STEM
Proficient
1
Singapore, Singapore