Azure AI Engineer: Build Scalable, Responsible AI

Accenture in the Philippines

Philippines

Hybrid

PHP 900,000 - 1,700,000

Full time

14 days+
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Job summary

Accenture in the Philippines is seeking a Microsoft Azure AI Engineer to design, develop, and deploy intelligent solutions using Azure Machine Learning and Cognitive Services. You will build Python-based ML models, leverage prebuilt AI capabilities, and deliver scalable AI applications aligned with business goals.

Collaborating with data engineers, analysts, and stakeholders, you will ensure governance and responsible AI while monitoring performance and cost.

Qualifications

  • Bachelor’s degree in computer science, engineering, or related field.
  • Experience designing and deploying AI/ML solutions on Azure.
  • Proficiency in Python and Azure SDKs for ML and cognitive services.
  • Solid understanding of AI/ML fundamentals, training, evaluation, and deployment.
  • Familiarity with cloud-native development and CI/CD for ML workloads.
  • Excellent communication and collaboration skills.

Responsibilities

  • Design AI solutions using Azure ML pipelines and SDKs.
  • Build and deploy Python-based ML models.
  • Integrate prebuilt AI capabilities (Vision, Language, Speech) into enterprise apps.
  • Collaborate with data engineers, analysts, and stakeholders to align with business needs.
  • Ensure governance, security, and responsible AI across workloads.

Skills

Python programming
AI/ML fundamentals
Communication skills
Stakeholder collaboration

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Azure Machine Learning
Azure AI Studio
Azure Cognitive Services
Azure SDKs

Job description

Accenture in the Philippines is seeking a Microsoft Azure AI Engineer to design, develop, and deploy intelligent solutions using Azure Machine Learning and Cognitive Services. You will build Python-based ML models, leverage prebuilt AI capabilities, and deliver scalable AI applications aligned with business goals.

Collaborating with data engineers, analysts, and stakeholders, you will ensure governance and responsible AI while monitoring performance and cost.

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