ALX Africa
Senior AI/ML Engineer
Remote work allowed only within certain countries or regions.
Africa
Employer listed it 3 weeks ago · Added yesterday
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Africa
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Africa.
What the employer says
- Source listing states candidate location: "Remote, ALX Africa"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About ALX Africa
ALX Africa, a non-profit organisation under the ALX Foundation, is dedicated to unlocking the potential of Africa's digital future. Formerly part of Sand Tech Holdings, we've embarked on an independent journey to provide world-class tech skills training and career acceleration programmes. Our mission is to bridge the digital divide, upskill and re-skill talent, and create a generation of innovative leaders. By 2030, we aim to empower 2 million Africans to secure sustainable tech careers.
With hubs in 8 cities across Africa and counting, we provide safe access to quality learning and a dedicated network of expert instructors. Our innovative programmes equip learners with the practical skills and knowledge needed to succeed in today's rapidly evolving tech industry. Through a combination of rigorous coursework, industry partnerships, and hands-on projects, we prepare our students for in-demand roles in software engineering, data science, and cybersecurity.
We achieve this by:
Providing young professionals with access to the most in-demand tech skills that will power the future.
Empowering the next generation of technology innovators, entrepreneurs, and business leaders through challenging, real-world coursework.
Building a lifelong, impactful community of tech professionals that support them at all stages of their career journey.
Our impact thus far:
347k+ graduates since 2020
257k youth in work
31k youth starting own ventures
60k youth in jobs created by entrepreneurs
Visit our website www.alxafrica.com to learn more about our digital revolution.
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 that evaluate learners for the Grader-Competency-Pulser; the role grows into genuine ML/data-science work as the data asset does.
Skill Requirements - Essential
Probabilistic / Bayesian modelling: real depth — you have designed models from domain structure, not just fit them to data.
Requirements
- ·Probabilistic / Bayesian modelling: real depth — you have designed models from domain structure, not just fit them to data.
- ·Python & shipping: strong Python and the ability to ship what you design, production pipelines, not notebooks.
- ·Evaluation: eval design experience, or the judgment to build it fast.
- ·Desirable (not required): BKT/KST or psychometrics exposure; MLflow or similar experiment tracking; knowledge graphs. No prior EdTech required but useful.
- ·Serious probabilistic modelling of structured domains (recommenders, knowledge graphs, causal inference) is great.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at ALX Africa, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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