Azure ML Backend Engineer | GenAI & CI/CD

FPT Asia Pacific; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

FPT Asia Pacific seeks an experienced backend/ML engineer in Singapore to design and maintain backend services for data and AI applications. You will collaborate with data scientists and product teams to deliver robust APIs and scalable data pipelines.

The role requires deep Azure experience, Python proficiency, and a track record with CI/CD, Docker, and ML libraries. You will work in a cross-disciplinary team within a fast-paced environment to deploy production-ready models.

Qualifications

• 5 years of experience in developing backend services and relational databases.
• Experience with Microsoft Azure, OpenAI, Claude.
• Experience in Generative AI apps and cloud services, preferably Azure.
• Proficiency in Python and ML libraries (Pandas, PyTorch).
• Experience with SQL, CI/CD (Jenkins), and Docker.
• Experience in agile environments and cross-functional teams.

Responsibilities

• Develop and maintain backend services for Data and ML.
• Optimize and manage databases.
• Deploy applications to Azure cloud leveraging Azure services.
• Automate model training, testing and deployment using CI/CD.
• Implement metrics to verify ML model effectiveness and soundness.

Skills

Backend development

Relational databases

Python

CI/CD

Docker

Azure cloud services

ML libraries

OpenAI

Agile

Team collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Jenkins

Dagster

Airflow

Snowflake

Azure OpenAI API

Pandas

PyTorch

Job description

FPT Asia Pacific seeks an experienced backend/ML engineer in Singapore to design and maintain backend services for data and AI applications. You will collaborate with data scientists and product teams to deliver robust APIs and scalable data pipelines.

The role requires deep Azure experience, Python proficiency, and a track record with CI/CD, Docker, and ML libraries. You will work in a cross-disciplinary team within a fast-paced environment to deploy production-ready models.