Remote Vertex AI Engineer Jobs in India

Remote Vertex AI engineer opportunities are expanding rapidly across the international software landscape as enterprises standardize their machine learning and generative AI workloads on Google Cloud Platform. Organizations worldwide are building sophisticated foundation model applications, Retrieval-Augmented Generation (RAG) pipelines, and predictive analytics platforms, creating substantial demand for India-based cloud AI engineers with deep GCP expertise. The verified listings on this page map directly to RemoteKraft's "Vertex AI" search index for Indian engineering talent.

To excel as a remote Vertex AI engineer, professionals need extensive expertise across the Google Cloud AI ecosystem, including the Vertex AI SDK for Python, Vertex AI Model Garden, Gemini multimodal model tuning, and Vertex AI Search and Conversation. Deep competence in building reproducible MLOps pipelines using Kubeflow and Vertex AI Pipelines, managing feature stores, configuring custom container serving endpoints, and optimizing inference latency is essential. Strong foundations in BigQuery ML, Google Cloud IAM, VPC security perimeters, and infrastructure as code with Terraform or Google Cloud Deployment Manager are equally valued.

Global enterprises and AI-native startups offer lucrative compensation structures for India-based Vertex AI specialists, recognizing the specialized nature of enterprise cloud AI infrastructure. Distributed engineering organizations prioritize asynchronous collaboration, clear documentation, and autonomous problem-solving while accommodating time-zone flexibility across North America, EMEA, and APAC. Indian cloud AI practitioners benefit from working with state-of-the-art foundation models, massive enterprise datasets, and advanced MLOps governance frameworks.

Indian engineers looking to secure top-tier remote roles should develop showcase projects demonstrating end-to-end generative AI or machine learning systems built on Vertex AI, such as a multimodal RAG system using Vertex Vector Search and Gemini with automated CI/CD pipeline deployments. Sharing comprehensive case studies on model evaluation, cost governance, or latency reduction will strongly impress hiring managers. Explore the verified remote Vertex AI engineer openings below on RemoteKraft to submit your application today.