Senior Data Engineer - D05 Clementi New Town, Hong Leong Garden, Pasir Panjang, SG

Roles & Responsibilities

Job Responsibilities :

We are looking for a Senior Data Engineer to lead the technical initiatives for AI Data Engineering, enabling scalable, high-performance data pipelines that power AI and machine learning applications. This role will focus on architecting, optimizing, and managing data infrastructure to support AI model training, feature engineering, and real-time inference. You will collaborate closely with AI / ML engineers, data scientists, and platform teams to build the next generation of AI-driven products.

Essential Duties and Responsibilities

• Lead AI Data Engineering initiatives by driving the design and development of robust data pipelines for AI / ML workloads, ensuring efficiency, scalability, and reliability.
• Design and implement data architectures that support AI model training, including feature stores, vector databases, and real-time streaming solutions.
• Develop high performance data pipelines that process structured, semi-structured, and unstructured data at scale, supporting the various AI applications
• Implement best practices for data quality, lineage, security, and compliance for AI applications
• Develop automated data workflows, integrate with DevOps, MLOps frameworks, and enable model reproducibility through efficient data management.
• Continuously explore advancements in AI data engineering, including distributed computing, data mesh architectures, and next-gen storage solution that best fit the various AI initiatives
• Work closely with data scientists and AI / ML engineers to optimize feature extraction, data labeling, and real-time inference pipelines.

Pre-Requisites : Qualifications

Education & Experience

Travel Requirements

Role based in

Singapore office

and may require up to 1 travel trip per year.

Tell employers what skills you have

Machine Learning

Airflow

Scalability

Kubernetes

Azure

Pipelines

Data Transformation

Data Management

Google Cloud Platform

Data Quality

Reliability

Data Engineering

SQL

Python

Orchestration

Databases