Role Summary
Project A is ALX's AI learning platform. Under it sits a competency model and the hard algorithmic question of the whole system: given what we know about a learner, what should they do next? The Senior AI/ML Engineer designs and builds that engine. It is a probabilistic path-recommendation problem in the family of Bayesian Knowledge Tracing and Knowledge Space Theory, and it has to work from a cold start: no behavioural data yet, so the model is the prior. You encode the prerequisite structure of the domain and let it update as learners come through. We deliberately want an engineer with real modelling depth rather than a pure data scientist on a team this small, the high-value work on day zero is building, not analysing data we don't yet have.
Specific Responsibilities
Competency Navigation Algorithm
Own the competency navigation algorithm behind the Learner-Competency-Mapper, its design, implementation, and update dynamics as real data arrives.
Encode the prerequisite structure of the domain and its priors, so the model performs from a cold start and improves as learners flow through.
LLM Processing & ML Growth
Build pipelines that turn unstructured platform data into signal - first, a constrained LLM-as-judge answering whether Chidi is effective, with model selection, eval design, and awareness of judges' own failure modes.
As the platform accumulates a feedback stream, builds behavioural and at-risk profiling and the models
