Location
Onsite | Taguig
Schedule
Shifting Schedule
Salary
Confidential (Competitive, based on client and project assignment)
Start Date
ASAP
Experience
3+ Years in AI/ML (Azure)
Headcount
1
The Role
Are you a Microsoft Azure AI Engineer with a passion for designing, developing, and deploying intelligent solutions using Azure Machine Learning and Azure Cognitive Services? Do you thrive on building scalable, secure, and responsible AI applications that meet business needs?
We are looking for a high-caliber Azure AI Engineer to design and implement AI solutions, build and deploy Python-based machine learning models, and integrate prebuilt AI capabilities into enterprise applications. You will work closely with data engineers, analysts, and business stakeholders to translate business requirements into AI-driven solutions.
If you have 3+ years of experience in AI/ML on Azure, proficiency in Python, and a strong understanding of AI/ML fundamentals, we want to hear from you!
Key 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.
Minimum Qualifications
- Education: Bachelor's degree in Computer Science, Engineering, or a related field.
- Experience: Minimum 3 years of experience in AI/ML on Azure.
- Technical Skills:
- 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.
- Soft Skills: Excellent communication and collaboration skills.
- Eligibility: Open to applicants currently in the Philippines with the right to live and work in the country.
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.
What's In It For You?
- Competitive Salary: Final offer depends on client and project assignment (market-competitive)
- Prime Location: Onsite in Taguig
- Career Growth: Opportunity to work with cutting-edge Azure AI technologies
- Strategic Impact: Build scalable and responsible AI applications