{"id":3078502,"url":"https://alion.io/job/alu-education-adjunct-software-engineering-specialisation-coach-machine-learning","title":"Adjunct Software Engineering Specialisation Coach (Machine Learning)","company":{"id":1867450,"name":"ALU_education","domain":"alueducation.com","url":"https://alion.io/company/alueducation","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":8,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":71,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rwanda"],"countries":["RW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":70000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2216},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Keras","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-10-22T08:20:08Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-25T04:45:01Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"ABOUT ALU\nALU provides higher education for a higher purpose. Our students declare missions, not majors.They develop the real-world skills to take on the world’s most pressing challenges. And they take ownership of their learning from day one through our peer and student-led approach - because ALU believes in the power and agency of young people to start shaping the future right now. Together with a world-class faculty and staff, our students are igniting a ripple of positive impact across Africa and the world.\nWe are dedicated to fostering an open yet secure environment, balancing the safety of students, staff, and visitors with respect for individual rights, and safeguarding responsibilities.\nHOW WE WORK\nThe ALU Team works in starkly different ways to traditional academic bureaucracies. We approach education from first principles, empower individuals to design, test, and implement creative new ideas, and work closely together to craft transformative learning experiences. We are deeply passionate about our students and excited by the challenge of building something entirely new.\nThe African Leadership University is committed to ensuring the safety and Well-being of all students under our care. As part of this commitment , we have a comprehensive safeguarding policy in place , which outlines our Zero-tolerance approach to any violation of safeguarding. \nDuration:1 year \nEnrollment Type: Part-Time [~30 hours/week]\nABOUT THE PROGRAMME\nThe BSc Software Engineering programme is a three-year degree programme with the aim of developing Software Engineering graduates at scale who are well prepared to leverage technology as the first hand solution to solve relevant problems in the continent and beyond and also who are ready to meet the needs of employers globally. This innovative and scalable programme prepares graduates not only with relevant technical skills but also problem solving and leadership skills missing in our tech graduates and promotes learning with a purpose.\nThe role of the SE Specialisation Coach entails the responsibility to successfully deliver the learning components of the programme primarily in the Machine Learning specialisation track adhering to the principles of our ALU’s Learning Model.\nWe are looking for an individual who can meet the requirements as mentioned in the profile below:\nJob Description: \nManage the in-person experience for the programme including the academic orientation, induction for the specialisation modules for each intake, including responsibility for its development, evolution and its delivery adhering to the internal and external quality assurance standards\nDesign, evolve and deliver the specialisation modules, induction and re-induction of new and existing coaches, respectively.\nReview, validate and refine the current learning curriculum and revise the operational plans per trimester for an effective learning delivery based on continuous feedbacks.\nAudit and refine the experiential learning components for each trimester additional to the support in self-directed student learning. \nOrganize academic activities including Live coding sessions, Peer Learning Days, Mock Interview sessions, Hackathons and any other events that encourages student engagement in both online and in-person learning environments\nAdministration and coordination of the internship modules along with supporting teams (Coaches, Professional Development teams and other internal and external stakeholders)\nEvaluate the possibilities of improving student learning experiences by leveraging partnerships with industries, draft concept notes and finalize relevant plans to include the identified learning activities as part of the learning content.\nContribute to updated definitive documentation for the Software Engineering modules in the programme handbooks, policies and accreditation documents\nParticipate in regular student-staff consultative group meetings and other feedback instruments to capture student feedback and to implement recommendations to enhance the quality of programme delivery.\nAssist the SE Programme Manager in the review and approval of course modifications made by external learning content partners, either independently or following ALU inputs.\nEngage with all developmental and performance management processes for academic teams.\nContribute to the annual programme review to ensure content is up-to-date, valid, relevant and reflects current and future trends in Software Engineering, whilst giving consideration to pedagogical approaches suited for blended learning.\nImplement modifications to learning materials, assessments and other relevant components to meet internal and external quality assurance requirements.\nImplement modifications to the academic components following the findings of the annual programme review, periodic review, student-staff consultative groups, student evaluations and other quality assurance & enhancement instruments.\nOther relevant activities to ensure successful design and delivery of the programme.\nEngage in institutional service through active participation in the Senate and its sub-committees as per their composition.\nAny other reasonable duties that may be allocated from time to time by the managers.\nEnsure the safety and well-being of all young persons and vulnerable adults with whom we deal, by adhering to ALU’s comprehensive safeguarding policy, maintaining a zero-tolerance approach to any violations of safeguarding standards\nPerson Specification:\nEssential\nMaster’s degree in Computer Science, Software Engineering or a relevant field where Software Engineering and/or Programming is a significant component \nBackground of demonstrated excellence in Machine Learning and at least 5 years of experience in industry/university mentoring/facilitating Machine Learning courses and developing ML models.\nExperience guiding student/interns in undergraduate Projects or external projects\nExcellent coaching and adequate computing skills with the ability to support learners in both remote and in-person learning environments\nExpertise in mathematical domains of Machine Learning such as Advanced Linear Algebra, Calculus, Multivariate and Bayesian Probability, Convolutions etc\nExperience with machine learning APIs like Keras and ML libraries like Scikit-learn, TensorFlow etc\nExperience implementing ML models using variety of datasets\nFamiliarity using Transformer Models and Chatbots\nExperience using version control systems [preferably git] \nExperience in Python scripting and Linux based shell scripting \nExperience using version control systems [preferably git] for software development\nStrong debugging skills in the respective domain expertise.\nExperience designing experiential learning activities that promotes peer learning\nExcellent communications (oral and written), interpersonal and presentation skills.\nExcellent problem-solving skills with attention to detail.\nExcellent time management skills with the ability to multitask, prioritise own work, and work independently.\nThe ability to quickly analyze data and determine the appropriate academic support intervention required by the student or to redirect to other teams.\nA startup mindset to help us scale the programme to the order of thousands of students in the next 12 months.\nA strong, customer-service ethos\nAn ability to work flexibly with remote team members if needed\nDesirable\nExperience in Linux programming / Mobile Development / Web Development is a plus\nStrong regional or international network - Startup Incubators and accelerators, etc.\nExperience of programme management and leadership at a higher education institution.\nExperience in people management - managing a fast-growing team\nExperience of online teaching and learning delivery at challenger universities.\nExperience of teaching at higher education level.","description_format":"text","description_chars":7839,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","Higher Education","Public Health & Prevention"],"lifecycle":[{"event":"open","at":"2026-10-22T11:22:02Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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