Vertex AI Engineer: Build Scalable AI Pipelines on GCP

Accenture; Metro Manila; On-site; PHP 700,000 - 1,300,000; Full time

Job summary

Accenture in Metro Manila seeks an experienced AI/ML engineer to design and build production-grade AI applications using Google Cloud Vertex AI. You will work on scalable pipelines and cloud-based AI services, delivering robust solutions for real-world problems.

You will collaborate with cross-functional teams, optimize models for performance, and stay current with AI and cloud technologies, contributing ideas and developing subject-matter expertise in the assigned technology.

Qualifications

• At least 3 years of hands-on experience in designing and building AI/ML applications using GCP Vertex AI.

Responsibilities

• Develop and maintain scalable, production-ready AI pipelines
• Deploy and manage cloud-based AI services
• Integrate AI and Generative AI models into existing applications and systems
• Evaluate and optimize AI models and pipelines for performance and scalability
• Collaborate with cross-functional teams to deliver effective AI solutions
• Troubleshoot issues involving AI applications and cloud infrastructure
• Document technical designs, processes, and solutions for knowledge sharing and maintenance
• Contribute ideas and solutions during technical and team discussions
• Keep up with developments in AI and cloud technologies and recommend improvements
• Work independently and develop subject-matter expertise in the assigned technology

Skills

AI/ML design & development

Tools

GCP Vertex AI

Job description

Accenture in Metro Manila seeks an experienced AI/ML engineer to design and build production-grade AI applications using Google Cloud Vertex AI. You will work on scalable pipelines and cloud-based AI services, delivering robust solutions for real-world problems.

You will collaborate with cross-functional teams, optimize models for performance, and stay current with AI and cloud technologies, contributing ideas and developing subject-matter expertise in the assigned technology.