Teams at DataXstream

Build and deploy production machine learning models for recommendations, propensity scoring, forecasting, and document intelligence. Own the modeling lifecycle from data preparation and feature engineering through evaluation, monitoring, and retraining. Work with enterprise SAP data, customers, product teams, and implementation engineers to integrate reliable model outputs into the platform. Establish reproducible pipelines, responsible AI practices, documentation, and production standards.

Design, build, and optimize enterprise search capabilities using OpenSearch, including mappings, analyzers, indexing pipelines, query DSL, relevance tuning, vector and hybrid search, and search APIs. Diagnose performance issues, support customer implementations, define cluster and lifecycle requirements, collaborate with product and engineering teams, and document search architecture and relevance decisions.

Own the enterprise data layer on SAP HANA Cloud, designing relational and graph models, optimizing SQL and SQLScript performance, and building ingestion and replication pipelines. Develop secure service layers, enforce schema and database standards, implement multi-tenant access controls, and manage monitoring, recovery, capacity, and upgrades. Partner with machine learning and search teams to support feature pipelines and indexing, while documenting data models and graph schemas.