Manager - Data Science
Singapore
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s listing: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingBuild AI/ML solutions from business problem through data, modeling and validation to production
Define deployment strategies for production AI solutions on cloud infrastructure
Lead high-level and detailed technical designs and design reviews
Own code health and quality, including functional testing and CI/CD integration
Research academic papers and test new ideas for business problems
From the employer’s posting
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
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
Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions
Education & alternatives
- Actively participate in business and technical discussions and forums across Amex - PhD/ Master’s Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields - Proven track record on producing outstanding research results (Journal and/or Conference publications, and patterns) is a must.
Tools in this posting
- Java
- Julia
- Python
- Scala
- AWS
- Docker
- Elasticsearch
- GCP
- Grafana
- Kubernetes
- MLflow
- Airflow
- Keras
- TensorFlow
- XGBoost
Source — Tool mentions in context
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 12, 2026 · 9 days ago
- Recorded sightings
- 65
- Last seen by us
- Oct 21, 2026
- Reposted
- once since Aug 31, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
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.
- 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
- PhD/ Master’s Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields
- Proven track record on producing outstanding research results (Journal and/or Conference publications, and patterns) is a must.
- 2+ years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
2+ 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.
Source details
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- Pay
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- Location & working pattern
Singapore
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- Work authorization
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