AI/ML Engineer

• Build, maintain, and operate Python based ML pipelines for embeddings, inference, and relevance ranking
• Develop and support vector search and similarity matching to enable intent based product discovery
• Support GPU based workloads for model training, computation, and inference
• Participate in end to end MLOps workflows, including deployment, monitoring, retraining, and system maintenance
• Manage and refresh embeddings as product data and catalogs evolve over time
• Collaborate closely with Innovation, Architecture, and Engineering teams to deliver scalable ML systems
• Debug, optimize, and improve the performance, reliability, and relevance of search pipelines
• Contribute to ongoing platform enhancements as the search ecosystem matures

Required Qualifications
• Strong Python development experience (primary language)
• Experience building, deploying, or supporting machine learning pipelines in production
• Solid understanding of the ML lifecycle, including training, inference, retraining, and monitoring
• Familiarity with MLOps principles and production ML systems
• Experience working with large datasets and model outputs
• Ability to work hands on in evolving systems with ambiguous or rapidly changing requirements