Vertex AI Engineer

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Job details

Company overview

We are a global IT consulting and technology services firm that helps clients with their digital transformation. We provide services from strategy development to implementation and create innovative solutions for a wide range of industries. We help our clients gain a competitive edge by leveraging our expertise in areas such as data analytics, cloud technology, and cybersecurity. With a focus on sustainability and digital innovation, we provide solutions for business environments around the world.

Responsibilities

A global IT consulting and technology services firm is seeking an experienced Vertex AI Engineer and Cloud Delivery Lead to drive the design, deployment, and operationalisation of machine learning solutions on Google Cloud.
This role bridges AI/ML engineering and cloud delivery, ensuring that models and pipelines reach production reliably, securely, and at scale.

■RESPONSIBILITIES

• Design and implement end-to-end MLOps pipelines on Vertex AI, including data ingestion, model training, evaluation, and deployment
• Build and manage Vertex AI Pipelines (Kubeflow Pipelines) for automated model training and retraining workflows
• Deploy and manage models using Vertex AI Model Registry, Endpoints, and Batch Prediction services
• Implement feature engineering workflows using Vertex AI Feature Store
• Develop GCP-native integrations connecting Vertex AI with BigQuery, Dataflow, Cloud Storage, and Pub/Sub
• Manage infrastructure for ML workloads using Terraform, ensuring reproducible and version-controlled environments
• Configure IAM policies for Vertex AI workloads including service account governance and VPC Service Controls
• Lead cloud delivery activities: sprint planning, release management, environment promotion, and stakeholder communication
• Establish model monitoring using Vertex AI Model Monitoring for data drift and skew detection
• Collaborate with data scientists to containerise experiments and promote models through dev/staging/production
• Drive adoption of GKE for model serving workloads where custom inference infrastructure is required

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Requirements

■Required Qualifications4+ years of cloud engineering experienceHands-on experience with Infrastructure as Code using Terraform and/or AnsibleExperience designing, building, and operating GCP environmentsExperience with Linux systems administration and shell scripting

■Preferred QualificationsAdvanced Terraform experience, including module development and IAM automationExperience with GitOps and CI/CD pipelinesExperience with GCP networking and security servicesExperience with GCP serverless services (Cloud Run, Cloud Functions)Google Cloud or HashiCorp certifications

Salary

10 - 16 million yen

Location

Tokyo