Google Vertex AI Professional

About the job

Experience: 8+ Years Engagement: Contractor / Freelancer Location: Remote Job Summary We 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 Responsibilities • Design, 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 & Qualifications • 8+ 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 monitoring • Proven 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 search • NLP-based query understanding • Solid 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, metadata • Expertise in GCP services, including: • BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions • Experience deploying and operating low-latency, scalable search and ML APIs. • Experience collaborating with cross-functional stakeholders in retail or e-commerce environments. Nice to Have • Experience 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.

Requirements

• Google Vertex AI
• AI/ML engineering
• Python
• Semantic search
• NLP

Qualifications

• 8+ years of experience in AI/ML engineering

Preferred Technologies

• Google Vertex AI
• AI/ML engineering
• Python
• Semantic search
• NLP