• Support customers and join the passionate team of high-impact problem solvers • Work cross-functionally to design, plan, implement, and guide enterprise AI/ML strategies • Be a technical advisor who will help lead and direct the execution of advanced machine learning solutions • Oversee all aspects of the ML lifecycle, including data collection, cleaning, pre-processing, model training, and production deployment • Assist customers in developing new business opportunities until a suitable long-term project for growth is identified.

• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers. • Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns. • Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring. • Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently. • Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics. • Prototype applied ML solutions to validate feasibility before investing in full builds. • Ensure secure, robust handling of data used in ML workflows and retrieval operations. • Collaborate with product, design, and engineering to align ML system design with user experience and product goals. • Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.

• Design, maintain, automate, and optimize ML training pipelines and realtime model serving infrastructure • Improve ML observability, model evaluations, model monitoring, and debugging tools • Collaborate closely with ML scientists and engineering teams • Develop new ML solutions to extract information from studio artifacts • Stay updated with ML infrastructure advancements and new technologies

• Lead the development and integration of cutting-edge artificial intelligence and machine learning (AI/ML) solutions into our imaging platform for clinical trials. • Shape and execute an ambitious AI/ML strategy aligned with our R&D roadmap. • Define technical architecture, establish best practices, and champion AI/ML capabilities across the organization. • Manage talent, foster innovation, and cultivate a culture of technical excellence and collaboration. • Serve as a key thought partner to senior leadership, providing updates on AI/ML initiatives, progress, risks, and opportunities.