Microsoft Azure AI Engineer

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

1) AI Solution Development
2) Design and implement AI solutions using Azure Machine Learning, Azure AI Studio, and Azure AI Services.
3) Build and deploy Python-based machine learning models using Azure ML pipelines and SDKs.
4) Integrate prebuilt AI capabilities (Vision, Language, Speech, Document Intelligence) into enterprise applications.
5) Collaboration & Business Alignment
6) Work closely with data engineers, analysts, and business stakeholders to translate business requirements into AI-driven solutions.
7) Participate in solution architecture discussions to ensure alignment with enterprise standards and scalability.
8) Responsible AI & Governance
9) Apply Responsible AI principles, ensuring fairness, transparency, and accountability in AI models.
10) Ensure compliance with data privacy, security, and governance standards across AI workloads.
11) Monitoring & Optimization
12) Monitor AI workloads using Azure Monitor, Application Insights, and MLOps best practices.
13) Continuously optimize model performance, cost-efficiency, and reliability.

Job Qualifications

1) Bachelor’s degree in Computer Science, Engineering, or a related field.
2) Minimum 3 years of experience MS AI, AI/ML
3) Experience in designing and deploying AI/ML solutions on Azure.
4) Proficiency in Python and Azure SDKs for machine learning and cognitive services.
5) Strong understanding of AI/ML fundamentals, including model training, evaluation, and deployment.
6) Familiarity with cloud-native development and CI/CD practices for ML workflows.
7) Excellent communication and collaboration skills.

Preferred Skills

1) Experience with Azure AI Studio, Azure ML Designer, and AutoML.
2) Knowledge of MLOps practices and tools such as MLflow, Azure DevOps, or GitHub Actions.
3) Microsoft certifications (e.g., Azure AI Engineer Associate) are a plus.
4) Familiarity with Power BI for integrating AI insights into dashboards.

Additional details:

This position is based at our Taguig office.
Open for those applicants who are currently in Philippines and already have the right to live and work in this country are eligible for this role

RECRUITMENT PROCESS:
• Screening with CV Reviewer
• Endorse for Validation and further CV screening through Workday, along with the HRI toolkit, FCV, and CV
• For review with the client

PRE-SCREENING QUESTIONS:

a) How many years of professional experience do you have in AI/ML?
b) How many years of hands-on experience do you have designing or deploying AI/ML solutions on Microsoft Azure?
c) How strong is your understanding of AI/ML fundamentals?
d) What is your last drawn salary?
e) How much is your salary expectation?
f) Are you amenable to working onsite setup with a shifting schedule in Taguig?
g) Notice period