Employabilitylife India
Website:
employability.life
Job details:
Company Description
Employability.life, a fully owned subsidiary of Federation University Australia, is transforming education by combining work-simulated learning with industry-relevant academic programs. With a strong focus on preparing Indian students for the future of work, the organization offers pathways to global education and careers. Students can cultivate future-ready skills, earn credits toward degrees, and explore study and work opportunities in Australia. By bridging academia and industry, Employability.life and Federation University aim to empower graduates to succeed in the digital economy.
Role Description
Job Title:Project Manager – Artificial Intelligence & Machine Learning
Job Summary:We are seeking a Project Manager to mentor and guide learner teams as they design intelligent AI/ML-driven solutions. The PM will support learners through a structured, sprint-based XPro, helping them understand real-world problem statements, interpret datasets, build machine learning models, and develop scalable AI system concepts.
The role combines strong facilitation, clarity of communication, and the ability to translate complex AI/ML, data science, and automation concepts into accessible guidance for learners.
Key Responsibilities:• Help learners understand real-world AI/ML applications across industries.
• Guide teams in analysing structured and unstructured datasets.
• Support comprehension of machine learning fundamentals, model selection, and evaluation techniques.
• Mentor students in developing rule-based systems as well as ML models (e.g., regression, classification, clustering).
• Help learners validate model performance using metrics, error analysis, and anomaly detection.
• Facilitate understanding of AI pipelines, data preprocessing, feature engineering, and model deployment concepts.
• Reinforce ethical AI principles, bias mitigation, and responsible AI frameworks during design decisions.
• Ensure learners can justify their model choices using data-driven reasoning and real-world case studies.
• Coach teams to develop end-to-end AI/ML solutions using provided datasets.
• 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 Emp.life conduct standards.
• Train and mentor new PMs as needed.
Required Skills & Qualifications:• Strong understanding of Artificial Intelligence and Machine Learning concepts.
• Familiarity with data analytics, statistical modelling, and ML frameworks (e.g., supervised/unsupervised learning).
• Knowledge of model evaluation metrics, data preprocessing, and feature engineering.
• Understanding of ethical AI, bias, fairness, and responsible AI practices.
• Exposure to tools/languages such as Python, SQL, or ML libraries (preferred but not mandatory).
• 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 concepts in simple, professional, and structured ways.
Educational Qualifications:• Bachelor’s or Master’s in Computer Science, Data Science, Artificial Intelligence, or related fields.
• Certifications in AI/ML or Project Management (Agile/PMP) are preferred.
Professional Experience:• 3–5 years of experience in AI/ML, data science, analytics, or related domains.
• Experience mentoring student teams or junior engineers/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.
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