Senior AI Engineer – Google Vertex AI (Search & Discovery)

Experience: 8+ YearsEngagement: Contractor / FreelancerLocation: RemoteJob SummaryWe are seeking a highly experienced Google Vertex AI professional to design, configure, and scale intelligent search and discovery solutions for our e-commerce retail platform. This role will focus on implementing and optimizing Vertex AI Search for Commerce (SaaS) to deliver highly relevant, personalized, and high-performance search experiences on the TWC website, leveraging rich product merchandising data.Key ResponsibilitiesDesign, configure, and implement Vertex AI Search for Commerce for e-commerce search and discovery use cases.Configure the SaaS platform to effectively consume and utilize product merchandising data (catalog, attributes, taxonomy, pricing, availability, metadata).Enable and optimize semantic search, relevance tuning, ranking, and query understanding using built-in and custom configurations.Integrate Vertex AI Search for Commerce with existing e-commerce front-end and backend systems.Customize search behavior to support business rules, boosting, filtering, faceting, and personalization.Implement A/B testing and experimentation to continuously improve search relevance, engagement, and conversion.Monitor, analyze, and optimize search performance, latency, relevance metrics, and cost efficiency.Build and manage end-to-end ML pipelines on Vertex AI where customization beyond SaaS capabilities is required.Collaborate closely with Product, Engineering, Merchandising, and Business teams to translate search and discovery requirements into scalable AI solutions.Ensure solutions meet standards for scalability, security, reliability, and performance.Provide technical leadership and mentorship to junior engineers on AI and search architecture.Required Skills & Qualifications8+ years of experience in AI/ML engineering, search platforms, or data-driven product development.Strong hands-on experience with Google Vertex AI, including:Vertex AI Search for Commerce (SaaS)Training, pipelines, endpoints, and monitoringProven experience implementing e-commerce search and discovery solutions.Strong understanding of information retrieval, ranking algorithms, relevance tuning, and search evaluation metrics.Hands-on experience with:Semantic search, embeddings, vector searchNLP-based query understandingSolid programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).Strong experience working with product catalog and merchandising data:Product attributes, taxonomy, pricing, availability, promotions, metadataExpertise in GCP services, including:BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud FunctionsExperience deploying and operating low-latency, scalable search and ML APIs.Experience collaborating with cross-functional stakeholders in retail or e-commerce environments.Nice to HaveExperience with large-scale retail catalogs and high-traffic e-commerce platforms.Familiarity with personalization strategies and customer behavior analytics.Prior experience migrating or modernizing legacy search platforms to Vertex AI Search for Commerce.

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