(ACTIVE) Microsoft Azure AI Engineer | Taguig

Microsoft Azure AI Engineer – Taguig

Location: Taguig, Philippines
Work Setup: Onsite
Work Shift: Shifting
Salary: Confidential / To be discussed during Job Offer
Experience: 3+ years

Job Summary

We are seeking a Microsoft Azure AI Engineer with hands-on experience in designing, developing, and deploying AI/ML solutions on Microsoft Azure. The role involves building scalable and secure AI applications using Azure Machine Learning, Azure AI Services, Python, and MLOps practices.

Key Responsibilities

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

• Develop and deploy Python-based machine learning models using Azure ML pipelines and SDKs.

• Integrate Azure Vision, Language, Speech, and Document Intelligence services into enterprise applications.

• Collaborate with data engineers, analysts, and business stakeholders to translate requirements into AI solutions.

• Participate in solution architecture discussions and ensure scalability and enterprise standards.

• Apply Responsible AI principles, including fairness, transparency, and accountability.

• Ensure AI workloads comply with data privacy, security, and governance requirements.

• Monitor AI workloads using Azure Monitor and Application Insights.

• Implement MLOps best practices and continuously optimize model performance, cost, and reliability.

Required Qualifications

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

• Minimum 3 years of professional experience in AI/ML.

• Hands-on experience designing and deploying AI/ML solutions on Microsoft Azure.

• Strong proficiency in Python and Azure SDKs.

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

• Experience with cloud-native development and CI/CD practices for ML workflows.

• Strong communication and collaboration skills.

Preferred Skills

• Azure AI Studio

• Azure Machine Learning Designer

• AutoML

• MLOps

• MLflow

• Azure DevOps

• GitHub Actions

• Power BI

• Microsoft Azure AI Engineer certification

Work Eligibility

• This position is based at the Taguig office.

• Applicants must currently be based in the Philippines and have the legal right to live and work in the country.

Recruitment Process

1. Screening with CV Reviewer

2. Endorsement for validation and further CV screening through Workday, including HRI Toolkit, FCV, and CV

3. Client review

Pre-Screening Questions

• How many years of professional experience do you have in AI/ML?

• How many years of hands-on experience do you have designing or deploying AI/ML solutions on Microsoft Azure?

• How strong is your understanding of AI/ML fundamentals?

• What is your last drawn salary?

• What is your salary expectation?

• Are you amenable to working onsite on a shifting schedule in Taguig?

• What is your notice period?