Microsoft Azure AI Engineer

Role Overview

A Microsoft Azure AI Engineer is responsible for designing, developing, and deploying intelligent solutions using Azure Machine Learning and Azure Cognitive Services. This role focuses on leveraging prebuilt AI capabilities and custom machine learning workflows to build scalable, secure, and responsible AI applications that meet business needs.


Job Responsibilities

AI Solution Development


Design and implement AI solutions using Azure Machine Learning, Azure AI Studio, and Azure AI Services


Build and deploy Python-based machine learning models using Azure ML pipelines and SDKs


Integrate prebuilt AI capabilities (Vision, Language, Speech, Document Intelligence) into enterprise applications


Collaboration & Business Alignment


Work closely with data engineers, analysts, and business stakeholders to translate business requirements into AI-driven solutions


Participate in solution architecture discussions to ensure alignment with enterprise standards and scalability


Responsible AI & Governance


Apply Responsible AI principles, ensuring fairness, transparency, and accountability in AI models


Ensure compliance with data privacy, security, and governance standards across AI workloads


Monitoring & Optimization


Monitor AI workloads using Azure Monitor, Application Insights, and MLOps best practices


Continuously optimize model performance, cost-efficiency, and reliability


Job Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field


Minimum 3 years of experience in AI/ML – required


Experience in designing and deploying AI/ML solutions on Azure


Proficiency in Python and Azure SDKs for machine learning and cognitive services


Strong understanding of AI/ML fundamentals, including model training, evaluation, and deployment


Familiarity with cloud-native development and CI/CD practices for ML workflows


Excellent communication and collaboration skills


Preferred Skills

Experience with Azure AI Studio, Azure ML Designer, and AutoML


Knowledge of MLOps practices and tools such as MLflow, Azure DevOps, or GitHub Actions


Microsoft certifications (e.g., Azure AI Engineer Associate) are a plus


Familiarity with Power BI for integrating AI insights into dashboards


Additional Details

This position is based at our Taguig office


Open to applicants who are currently in the Philippines and already have the right to live and work in this country