- 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.
- 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.
- 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.
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Senior AI Engineer – Google Vertex AI - India - Proso
Description
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
Required Skills & Qualifications
Nice to Have
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