Job Description
Role: Vertex AI Engineer & Cloud Delivery Lead
AI/ML Platform Engineering | GCP Cloud Delivery
Location: Hyderabad /Bangalore/Chennai /Pune.
ROLE OVERVIEW
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, workplace 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
5+ 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 Vert

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