Vertex AI Engineer & Cloud Delivery Lead/欧州最大のコンサルティングファームの求人

We are 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.


●KEY 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

●REQUIRED QUALIFICATIONS
4+ years of experience with GCP, including 2+ years hands-on with Vertex AI
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience building Vertex AI Pipelines and managing model lifecycle in Vertex AI Model Registry
Solid Terraform skills for provisioning Vertex AI, GCS, BigQuery, and associated infrastructure
Good understanding of GCP IAM, particularly for securing ML pipelines and data access
Experience with GCP-native development patterns and event-driven architectures
Demonstrated cloud delivery experience including planning, execution, and stakeholder management
Familiarity with containerisation (Docker) and GKE for model serving


●PREFERRED QUALIFICATIONS
Google Professional Machine Learning Engineer certification
Experience with LLM fine-tuning, Vertex AI Generative AI Studio, or Model Garden
Familiarity with Feast, Tecton, or similar feature stores
Experience with Ansible for environment configuration and automation
Background in DataOps or platform engineering for data-intensive workloads

世界40カ国以上でおよそ18万人の従業員を擁しコンサルティング、テクノロジー、およびアウトソーシングを提供する世界有数のコンサルティングファーム（1967年設立）の日本法人として2012年に設立され、最高レベルの技術と豊富な専門知識を兼ね備えた幅広い統合サービスを提供いたします。日本のチームは、現在以下の業種で一連の主要なサービスを中心に、お客様の業績と競争力を強化する改革を支援しています。

当社はグローバルでは18万人という巨大なリソース・ケイパビリティを持ってはいるものの、日本においては再進出したばかりという欧州系(仏)コンサルファームです。
海外で巨大な組織を持つコンサル企業が日本に進出すると言うことはここ10年の間で、弊社以外一度も無いくらい稀れであり、アントレプレナーシップを持つ方には魅力的な機会です。