Senior AI Platform Engineer – Enterprise AI

Aimlroles; Singapore; On-site; SGD 140,000 - 230,000; Full time

Job summary

1011 United Overseas Bank Ltd is seeking an experienced AI Platform Specialist to join the Enterprise AI team in Singapore. You will shape and execute the bank’s AI strategy, designing, developing and deploying ML solutions that address real-world banking challenges and deliver enterprise value.

You will collaborate with data scientists, IT engineers and business stakeholders to produce end-to-end ML platforms, reusable assets, data pipelines and tooling, while keeping pace with industry trends

Qualifications

• Bachelor’s or advanced degree in computer science, data science, software engineering or related fields.
• 8+ years of experience as an ML Engineer or similar role with production ML deployments.
• Strong knowledge of ML algorithms, lifecycle, deployment patterns.
• Experience with data management tech including Hadoop, Spark, ETL and databases.

Responsibilities

• Partner with group technology to develop and enhance the enterprise AI platform.
• Act as AI platform SME and work with data scientists, IT engineers and stakeholders to deploy ML solutions.
• Design and develop reusable assets, libraries, frameworks, and ML tools.
• Collaborate to adopt best practices to streamline model deployment processes.
• Build and optimize data and ML pipelines for training and operations.
• Develop tools/UIs to deliver AI products for business stakeholders.
• Stay updated on industry trends to improve AI/ML processes.

Skills

Python

Java

Scala

ML deployment

DevOps

CI/CD

Data pipelines

Spark

Hadoop

ETL

Education

Bachelor's degree or higher

Tools

Hadoop

Spark

ETL

Job description

1011 United Overseas Bank Ltd is seeking an experienced AI Platform Specialist to join the Enterprise AI team in Singapore. You will shape and execute the bank’s AI strategy, designing, developing and deploying ML solutions that address real-world banking challenges and deliver enterprise value.

You will collaborate with data scientists, IT engineers and business stakeholders to produce end-to-end ML platforms, reusable assets, data pipelines and tooling, while keeping pace with industry trends