Director - Data Science

american express innovation laboratories limited (singapore branch); Singapore; In loco; SGD 250.000 - 350.000; Tempo pieno

Descrizione del lavoro

AMERICAN EXPRESS INNOVATION LABORATORIES LIMITED (SINGAPORE BRANCH) seeks an experienced AI/ML leader to drive strategy and execution across a cross-functional team. You will collaborate with Credit, Fraud, Risk, Web, Mobile, Marketing, and Automation partners to deploy scalable AI solutions in cloud environments.

The role emphasizes research-backed AI, production deployment, and mentoring while reporting to the VP, CoE.

Competenze

• Master's degree or higher in a STEM field; PhD preferred.
• 8+ years of full lifecycle product development and engineering leadership.
• Proven track record with AI/ML research results and publications.

Mansioni

• Lead AI/ML cross-functional team across business partners to enable strategic AI capabilities.
• Define deployment strategies for production AI solutions in cloud infrastructure at scale.
• Drive vision, strategy, and execution for AI initiatives across the organization.
• Mentor team members and participate in technical discussions and forums across Amex.
• Ensure code health, testing, and CI/CD practices across the portfolio.
• Stay updated with latest research and evaluate nascent ideas for real-world impact.
• Communicate complex technical topics clearly to all organizational levels.

Conoscenze

AI strategy

Leadership

Research excellence

Communication

Mentorship

Cross-functional collaboration

Formazione

Master's degree in Computer Science/Engineering/Information Systems

PhD degree preferred

Strumenti

Airflow

Kubeflow

Docker

Kubernetes

TF Serving

Seldon-Core

MLflow

Prometheus

Descrizione del lavoro

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).

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

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:
  • Generative AI
  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Natural Language Processing
  • Optimization
  • Probabilistic Inference
  • Information Retrieval
  • Recommendation Systems
  • Bayesian Inference
  • Advanced time series forecasting
• Hands-on Experience with most of the following open-source solutions:
  • Orchestrate: Airflow, Kubeflow Pipelines, ML Run
  • Container: Docker, Kubernetes, Mesos + Marathon
  • Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
  • Observability: Prometheus, Grafana, Elasticsearch
  • 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.