Azure AI Platform Engineer: ML, Vision & NLP Innovator

Accenture in the Philippines; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Accenture in the Philippines seeks a skilled AI engineer to design, develop, and deploy AI-driven solutions using Microsoft's AI ecosystem. You will leverage Azure Machine Learning, Cognitive Services, and related tools to build scalable, secure, and responsible AI applications that improve business processes and customer experiences.

Collaborate with data scientists and engineers, apply Responsible AI principles, and monitor AI workloads with MLOps best practices, staying ahead of Azure AI

Qualifications

• Bachelor's degree in CS/DS/engineering or related field.
• 3+ years of hands-on AI/ML development using Microsoft technologies.
• Strong Python skills, with PySpark for large-scale data processing.

Responsibilities

• Design, develop, and deploy AI solutions using Azure ML, Cognitive Services, and OpenAI.
• Collaborate with data scientists and engineers to implement scalable AI offerings.
• Apply Responsible AI principles across models and deployments.
• Monitor AI workloads and optimize using MLOps best practices.
• Stay updated on Microsoft AI advancements.

Skills

Python

PySpark

Azure ML

Azure Cognitive Services

Power Platform AI

MLOps

API integration

Cloud architecture

Security best practices

Analytical skills

Communication skills

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related field

Tools

Azure DevOps

GitHub Actions

MLflow

Azure OpenAI

Azure AI Studio

Job description

Accenture in the Philippines seeks a skilled AI engineer to design, develop, and deploy AI-driven solutions using Microsoft's AI ecosystem. You will leverage Azure Machine Learning, Cognitive Services, and related tools to build scalable, secure, and responsible AI applications that improve business processes and customer experiences.

Collaborate with data scientists and engineers, apply Responsible AI principles, and monitor AI workloads with MLOps best practices, staying ahead of Azure AI