Teams at Flinks

Own and ship production ML models end-to-end: problem framing, model design, training pipelines, deployment to served endpoints, and model-quality monitoring. Design experiments, detect drift, run champion-challenger evaluations, and partner with Data Engineering, backend, product and QA to integrate model outputs that drive business outcomes in fintech.

Own and prioritize quality backlogs, triage and rank defects and risks, validate and approve features before release, and coordinate cross-functional testing and validation. Maintain product documentation, test case repositories, and enablement materials while embedding quality practices into delivery and operationalization across multiple product lines.