Tech Stack

Description

As a Software Engineering Learning Coach focused on Machine Learning, you will design and deliver the ML specialisation modules, mentor students in both in-person and remote settings, and continuously improve the curriculum to prepare graduates for global tech roles.

Requirements

• Master's degree in Computer Science, Software Engineering, or relevant field
• At least 5 years of experience in industry/university mentoring/facilitating Machine Learning courses and developing ML models
• Experience guiding students/interns in undergraduate or external projects
• Excellent coaching and computing skills to support learners in both remote and in-person environments
• Expertise in mathematical domains of Machine Learning: Advanced Linear Algebra, Calculus, Multivariate and Bayesian Probability, Convolutions
• Experience with machine learning APIs (e.g., Keras) and ML libraries (e.g., Scikit-learn, TensorFlow)
• Experience implementing ML models using variety of datasets
• Familiarity with Transformer Models and Chatbots
• Experience using version control systems (preferably git)
• Experience in Python scripting and Linux based shell scripting
• Strong debugging skills in respective domain expertise
• Experience designing experiential learning activities that promote peer learning
• Excellent communication, interpersonal, and presentation skills
• Excellent problem-solving skills with attention to detail
• Excellent time management skills and ability to work independently
• Ability to analyze data and determine appropriate academic support interventions

Responsibilities

• Manage the in-person experience for the programme including orientation and induction for specialisation modules
• Design, evolve and deliver the specialisation modules, induction and re-induction of coaches
• Review, validate and refine the current learning curriculum and revise operational plans per trimester
• Audit and refine experiential learning components for each trimester
• Organize academic activities including Live coding sessions, Peer Learning Days, mock interviews, hackathons
• Administer and coordinate internship modules with supporting teams
• Evaluate and implement improvements to student learning experiences leveraging industry partnerships
• Contribute to definitive documentation for Software Engineering modules in programme handbooks and accreditation documents
• Participate in student-staff consultative group meetings to capture feedback and enhance programme delivery
• Assist the SE Programme Manager in review and approval of course modifications from external partners
• Engage with developmental and performance management processes for academic teams
• Contribute to the annual programme review to ensure content is current and reflects trends in Software Engineering
• Implement modifications to learning materials and assessments to meet quality assurance requirements
• Engage in institutional service through participation in Senate and sub-committees