Azure AI Engineer: Build & Deploy Scalable AI Solutions

Unison Group

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+
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Job summary

Unison Group is seeking an AI Engineer to design, develop, and deploy AI-powered solutions using Microsoft Azure AI services. You will build scalable models, deploy via APIs, and work with structured and unstructured data to train and infer AI systems.

The role requires hands-on Azure ML experience, strong coding skills in Python/Java, and collaboration with cross-functional teams to ensure performance and reliability in Azure environments.

Qualifications

  • Hands-on experience with Microsoft Azure AI / Azure Machine Learning.
  • Strong understanding of AI/ML concepts and model lifecycle.
  • Experience deploying and consuming models via APIs.
  • Strong programming skills in Python / Java / similar languages.
  • Experience working with data pipelines and data processing.
  • Knowledge of REST API integration and system design.

Responsibilities

  • Design and implement AI solutions using Azure AI services.
  • Build and deploy machine learning / AI models on Azure cloud.
  • Develop APIs and services to integrate AI capabilities into enterprise applications.
  • Work with structured and unstructured data for model training and inference.
  • Collaborate with business and technical teams to define AI requirements.
  • Deploy, monitor, and optimize AI solutions in Azure environments.
  • Ensure performance, scalability, and reliability of AI systems.
  • Support troubleshooting and enhancement of existing AI solutions.

Skills

Azure ML
Python/Java
REST APIs
Data pipelines
AI concepts
Azure AI Services
Cloud monitoring
Agile

Tools

Azure AI Services
AKS
Data Factory

Job description

Unison Group is seeking an AI Engineer to design, develop, and deploy AI-powered solutions using Microsoft Azure AI services. You will build scalable models, deploy via APIs, and work with structured and unstructured data to train and infer AI systems.

The role requires hands-on Azure ML experience, strong coding skills in Python/Java, and collaboration with cross-functional teams to ensure performance and reliability in Azure environments.

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