Lead ML/AI Engineering Consultant

Job Title: Lead ML/AI Engineering Consultant Company: DiUS Job Category: Machine Learning Roles & Responsibilities: This is a hands\-on model/system\-building role, not an AI\-tool\-integration or prompt\-engineering role \- you should be able to speak to decisions made in designing, training, fine\-tuning or evaluating a model or agentic system, not just configuring one. About The Role You'll lead client engagements end\-to\-end \- from shaping requirements and defining proof\-of\-concepts through to designing, building, training and deploying production ML and GenAI systems in the cloud. You'll get hands\-on with everything from classical ML models to agentic and RAG\-based GenAI solutions, while also mentoring engineers, managing a backlog, and showing clients what's possible. You'll also help DiUS keep winning great ML/AI work \- supporting pre\-sales conversations, scoping solutions, and sharing thought leadership with clients and the wider practice. Why join us You'll work alongside a team that takes AI and ML seriously \- not as a buzzword, but as a discipline. You'll have exposure to a variety of different projects featuring different tech, the autonomy to lead client engagements, the platform to shape how DiUS delivers AI/ML work, and a practice that backs continuous learning and thought leadership. Work Location: Melbourne, Victoria, Australia Availability: Full time

Whether we're building a product using AI or building an AI experience, we work on problems our clients aren't able to solve themselves \- drawing on our deep range of capabilities across software engineering, experience design, data and analytics, machine learning and AI. Key Skills: Machine Learning, Python, NLP, Computer Vision Salary: Not disclosed