Microsoft Azure AI Engineer
Gratitude IncMicrosoft Azure AI Engineer
Job Description
Key Skills
5 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.
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