Build and operate production ML engineering systems that turn Data Scientists’ findings into pipelines, algorithms, and shared evaluation infrastructure for InMobi Advertising.
Scaling existing workAI / ML“Ship, monitor, and iterate on what's in production, closing the loop back to the Data Scientist on what's working”
Product areasFinetuning and distillation pipelines · Routing algorithms · Cost-optimization logic · Shared evaluation infrastructure · Data pipelines and platform components
GoalsMove data science findings into production systems · Optimize routing under cost, latency, and non-determinism constraints · Provide trusted shared evaluation infrastructure · Monitor production performance and feed results back to Data Scientists