Teams at BJAK

Build and deploy production machine learning systems for classification, retrieval, ranking, personalization, and evaluation. Develop training and inference pipelines, improve model quality and efficiency, create evaluation datasets and metrics, monitor production performance, debug issues, and ship reliable ML-powered features. The role emphasizes balancing accuracy, relevance, latency, cost, privacy, and reliability while collaborating with engineering and product teams.

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

Lead and manage a cross-functional engineering team to deliver and scale customer-facing products. Own architecture, delivery, reliability, observability, and production outcomes. Coach engineers, run reviews, improve processes and tooling, and drive technical decisions across frontend, backend, APIs, databases, integrations, and infrastructure.