Microsoft Azure AI Engineer

Gratitude Inc

315 Views

6 days ago

Microsoft Azure AI Engineer

3-15 Year(s)

Manila (Taguig)

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Job Description

Key Skills

Artificial Intelligence (AI) Python Microsoft Azure machine learning

67 candidate(s) have already applied for this Job. Apply now

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

Role

L2 Support Engineer

Timings

Rotational Shifts (Permanent)

Industry

BPO

Work Mode

Work from office

Process

Semi-Voice

Functional Area

ITES / BPO / Customer Service

Note: Myglit doesn't charge any money from candidates. If you have been asked to pay money to get this job then report to us immediately at support@myglit.com.

Jecinta Kariuki

Recruiter - Gratitude Inc

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