Senior AI/ML Engineer
Tasks
- Build behavioural and at risk profiling models
- Build pipelines to process unstructured platform data
- Design and build competency navigation algorithm
- Design evaluation and model selection
- Develop grader competency pulser models
- Encode prerequisite structure and priors
- Implement LLM as judge for learner effectiveness
- Track and manage ML experiments
- Update model as learner data arrives
Perks/Benefits
Skills/Tech-stack
Bayesian Knowledge Tracing | Causal Inference | Data Pipelines | Experiment tracking | Knowledge Space Theory | Knowledge Tracing | Knowledge graphs | LLM | MLflow | Machine Learning | Model Evaluation | Probabilistic Modeling | Prompt engineering | Python
Education
N/A
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