Teams at BJAK

Build, deploy, and improve production machine learning systems for classification, retrieval, ranking, personalization, and evaluation. Develop efficient models and pipelines, optimize accuracy, latency, cost, and reliability, fine-tune existing models, monitor production performance, and use real-world feedback to drive improvements. Collaborate with engineering and product teams to deliver reliable AI-powered features.

Owns technical direction and hands-on execution for major products and systems. Designs scalable backend, frontend, API, database, and infrastructure solutions; writes code; leads architecture decisions; drives initiatives through production; improves engineering quality, reliability, security, testing, and observability; solves complex production problems; and mentors engineers across teams.

Own technical direction and execution for major products and systems. Design scalable and reliable architectures, write production code, lead architecture decisions, solve complex engineering problems, and drive initiatives from concept through production. Improve engineering quality through testing, security, observability, and development practices while mentoring engineers across teams. The role is remote and requires effective collaboration across countries, time zones, and distributed teams.