Company Description Employability.life, a fully owned subsidiary of Federation University Australia, is transforming education by combining work-simulated learning with industry-aligned academic programs. Through its strategic partnership with Federation University, it expands opportunities for Indian students to gain future-ready skills, earn credits toward selected degrees, and access study and work pathways in Australia. The organization focuses on preparing learners for the digital economy and global careers by tightly integrating practical experience with academic rigor.

By bridging the gap between academia and industry, Employability.life helps graduates develop capabilities that are directly relevant to modern workplaces. This innovative model creates an setting where learners can progress confidently into international education and employment opportunities.

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.

Experience Required:

- 7–14 years of overall experience.
- Relevant experience in the respective technical domain is preferred.
- Candidates should have strong project management, coordination, communication, and stakeholder management skills.

Required Skills:

- Artificial Intelligence (AI)




- Machine Learning (ML)
- Deep Learning
- Python Programming
- Neural Networks
- Natural Language Processing (NLP)
- Computer Vision
- Predictive Modelling
- Statistical Modelling
- Data Science

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.

📌 AI/ML Architect (India)
🏢 Employabilitylife
📍 India