AI Engineer (Azure AI Solutions)
LocationSingapore, Singapore, Singapore
Typefull-time
DepartmentManish
Company size1,001–5,000 people
PostedJun 23, 2026 · 3mo ago
Verified live20h ago
At a glanceSummarised by Seekless from the posting.
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
Strong analytical and problem-solving skills
Good communication and collaboration abilities
Ability to work in Agile teams
Eagerness to learn and adapt to new cloud AI technologies
Experience with Azure services (App Service, Functions, AKS, Data Factory)
Familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch)
Exposure to MLOps practices (CI/CD for ML models)
Experience with cloud monitoring and logging tools
Understanding of model evaluation and performance tuning
Skills
Microsoft Azure AI services
Azure Machine Learning
Python
Java
REST API
Scikit-learn
TensorFlow
PyTorch
Azure App Service
Azure Functions
AKS
Azure Data Factory
Job Overview
We are seeking an AI Engineer with strong hands-on experience in Microsoft Azure AI services to design, develop, and deploy AI-powered solutions. The role focuses on leveraging Azure-native AI capabilities, data services, and machine learning tools to build scalable and production-ready intelligent systems.
Key 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
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Deploy, monitor, and optimize AI solutions in Azure environments
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Ensure performance, scalability, and reliability of AI systems
•
Support troubleshooting and enhancement of existing AI solutions
Required Skills & Experience
•
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
Good to Have
•
Experience with Azure services (App Service, Functions, AKS, Data Factory)
•
Familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch)
•
Exposure to MLOps practices (CI/CD for ML models)
•
Experience with cloud monitoring and logging tools
•
Understanding of model evaluation and performance tuning
Soft Skills
•
Strong analytical and problem-solving skills
•
Good communication and collaboration abilities
•
Ability to work in Agile teams
•
Eagerness to learn and adapt to new cloud AI technologies