Company Description
Employability.life, a subsidiary of Federation University Australia, aims to transform education by integrating work-simulated learning with industry-aligned academic programs. In collaboration with Federation University, the organization provides Indian students with access to global education opportunities and future-ready skills. Students can earn credits toward specific degrees and benefit from study and work prospects in Australia. By bridging academia and industry, Employability.life empowers graduates to excel in digital economy careers.
Job Summary:
We are seeking a Project Manager to mentor and guide learner teams as they design intelligent AI/ML-driven solutions for real-world problem contexts. The PM will support learners through a structured, sprint-based XPro, helping them understand problem statements, interpret datasets, build machine learning models or rule-based systems, and develop conceptual intelligent system designs.
The role combines strong facilitation, clarity of communication, and the ability to translate complex AI/ML, data science, and system-design concepts into accessible guidance for learners.
Key Responsibilities:
- Help learners understand real-world problem contexts and their relevance to AI/ML applications.
- Guide teams in analysing structured and unstructured datasets used in intelligent systems.
- Support comprehension of core AI/ML concepts such as data preprocessing, feature engineering, model selection, and evaluation.
- Mentor students in developing simple rule-based systems or machine-learning models for decision-making and automation.
- Help learners validate system logic through testing, error handling, and anomaly detection techniques.
- Facilitate understanding of AI system architecture, APIs, dashboards, and model deployment concepts.
- Reinforce ethical AI principles, fairness, bias mitigation, and responsible AI practices during design decisions.
- Ensure learners justify their design choices using data-driven reasoning and real-world case studies.
- Coach teams to develop conceptual intelligent systems (e.g., recommendation engines, predictive models, automation tools) using provided datasets.
Project & Team Management Responsibilities:
- Lead, mentor, and anchor learner project teams throughout all sprints and deliverables.
- Introduce learners to the problem statement, Agile approach, and tools such as Taiga/Play Portal.
- Create official communication channels, set ground rules, and maintain professional learner engagement.
- Assign weekly tasks, run weekly team meetings, track attendance, and monitor progress.
- Review learner submissions, provide structured feedback, and prepare teams for Product Owner presentations.
- Conduct sprint retrospectives, update sprint reports, and escalate issues where required.
- Maintain professional communication boundaries and uphold organizational conduct standards.
- Train and mentor new Project Managers as needed.
Required Skills & Qualifications:
- Knowledge of AI/ML concepts, data analytics, or intelligent system design.
- Familiarity with basic statistics, data modelling, and machine-learning workflows.
- Understanding of model evaluation metrics, overfitting, bias, and interpretability.
- Experience with Python, ML libraries (e.g., scikit-learn, TensorFlow, or similar) is preferred but not mandatory.
- Understanding of ethical AI principles and responsible automation frameworks.
- Demonstrated capability in learner engagement, mentoring, facilitation, and structured communication.
- Strong project-management experience with planning, execution, and sprint-based delivery.
- Ability to explain complex technical concepts in a simple, professional, and structured manner.
Educational Qualifications:
- Bachelor's or Master's in Computer Science, Data Science, Artificial Intelligence, Engineering, or related fields.
- Certifications in AI/ML, Data Science, or Project Management (Agile/PMP) are preferred.
Professional Experience:
- 7+ years of experience in AI/ML, data science, software development, analytics, or related domains.
- Experience mentoring student teams, junior engineers, or interns in project-based or academic environments.
- Exposure to Agile methodologies and collaborative digital tools.
Performance Expectations & KPIs:
- Timely completion of sprint deliverables by learner teams.
- High learner engagement and satisfaction.
- Quality and industry relevance of project outcomes.
- Adherence to Agile ceremonies, documentation, and escalation processes.
- Positive feedback from Product Owner and delivery leadership.
