You will design and maintain automated test suites while integrating AI-powered agentic tools to accelerate quality workflows and failure triage. Additionally, you will contribute to the validation strategies for AI-native features, ensuring reliability and performance across the development lifecycle.
The Data Engineer will lead end-to-end ETL processes for financial data and advise clients on data standardization and best practices. They will also collaborate cross-functionally to troubleshoot data issues and influence product development based on customer needs.
The Customer Value Architect translates customer goals and operating strategies into scalable adoption motions and measurable value realization. They partner with internal teams and customer stakeholders to embed MindBridge into recurring workflows and drive long-term transformation.
The Senior Data Science Engineer will provide applied data science expertise to help customers maximize the value of MindBridge's AI models and ensembles. This role involves configuring models, investigating behavior, and acting as a technical liaison between customers and internal product and engineering teams.
Lead the design, development, and evaluation of advanced machine-learning models for large-scale structured and transactional data. Partner with engineering, product, and domain experts to translate technical research into scalable, customer-facing capabilities.
