Build, fine-tune, validate, deploy, monitor, and debug AI models for high-volume manufacturing operations. Responsibilities include defining defect-labeling rules, curating image datasets, analyzing model errors, conducting root-cause analysis, reporting performance, and coordinating with customers and internal teams. The role requires reviewing large image volumes, maintaining production model accuracy, and supporting projects through completion, with occasional customer-site travel.

Build and operate high-throughput, low-latency Python backend systems for a computer vision AI platform used in semiconductor manufacturing. Responsibilities include designing APIs, scaling distributed infrastructure, supporting cloud and customer-hosted deployments, operating production systems, debugging customer issues, improving observability, and contributing to architecture, code reviews, mentoring, and post-mortems.

Build SixSense's US go-to-market engine: define target accounts and buyer personas, run multi-channel outbound campaigns, implement GTM systems and automation, measure and iterate to convert pipeline into the first key US semiconductor accounts.