- Take new models and AI capabilities from idea to production by designing, training, evaluating, and deploying them end-to-end.
- Improve price prediction models using data to help users make better procurement decisions.
- Iterate on ranking, search, and retrieval systems to match subcontractors to tenders.
- Design offline evaluations and run online A/B tests to drive metrics-led iteration.
- Develop and improve agentic systems that orchestrate multi-step reasoning for complex workflows.
- Ship work into production, including model, backend service, API, and TypeScript web app integration.
- Collaborate with Product, Engineering, and Data teams to translate business problems into ML/AI features.
- Maintain, monitor, and continuously improve deployed production ML/AI systems.