Employment type in the employer’s posting: Full timeFrom the employer’s posting
Drive AI and decision science vision, strategy and execution across the organization
Build scalable AI solutions for areas such as generative AI, personalization and NLP
Define deployment strategies for production AI solutions in cloud infrastructure at scale
Lead high-level and detailed technical designs and design reviews
Own code health and quality across the portfolio, including CI/CD integration
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
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
- 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.
Open 4 monthsWe first saw this posting 128 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 128
Up longer than most. Similar jobs usually come down between day 8 and day 57.
Well past American Express’s usual: its jobs come down by about day 8.
From 9,238 similar postings that came down, and 293 of American Express’s. Coming down is not always a hire.
19 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
o Development: - Programming Language: Python, Java, Scala, Julia - IDE: Notebooks, PyCharm, VS Studio
- 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.
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 Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow o Observability: Prometheus, Grafana, Elasticsearch o Development:
o Container: Docker, Kubernetes, Mesos + Marathon o Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow o Observability: Prometheus, Grafana, Elasticsearch
- Hands-on Experience with most of the following open-source solutions: o Orchestrate: Airflow, Kubeflow Pipelines, ML Run o Container: Docker, Kubernetes, Mesos + Marathon
- IDE: Notebooks, PyCharm, VS Studio - Machine Learning: TensorFlow, Keras, ScikitLearn, H20.ai, XGBoost, MXNet - Feature Store: Hopsworks, Feast, or other purposed built Feature Store
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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).
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
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
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Singapore
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