Lead ML/AI Engineering Consultant

Lead ML/AI Engineering Consultant | Sydney or Melbourne (Hybrid)

We're looking for an experienced ML/AI practitioner who doesn't just use models and AI tools - you build them. Someone who can design, train and ship machine learning and GenAI systems end-to-end, and who enjoys leading clients through hard, ambiguous problems to get there.

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 DiUS

DiUS is an Australian B2B technology services company with an excellent reputation as a trusted consulting partner. We're a go-to company for helping organisations of all sizes tackle hard engineering problems, improve delivery practices, modernise applications, and deliver or scale new products to market.

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.

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.

What you'll bring

• Commercial experience designing, building and deploying machine learning models and systems - proficiency across at least two of NLP, computer vision, recommendation systems or structured data prediction, with hands-on MLOps and production deployment experience (AWS SageMaker, GCP Vertex AI, Azure ML)

• Commercial experience designing, building and deploying GenAI, LLM, RAG or agentic systems - not just integrating with a hosted API or no-code agent platform. Comfortable across foundation model providers (Anthropic Claude, OpenAI, Gemini, open-weight models), agentic frameworks (Bedrock AgentCore, LangChain/LangGraph, CrewAI, AutoGen), MCP, vector databases, and GenAI evaluation/observability tooling

• Strong Python skills with a solid foundation in software development

• Strong cloud engineering experience and knowledge

• Data engineering exposure - big data tooling, data modelling, and platforms like Databricks or Snowflake, is a strong plus

• The consulting chops to match: comfort with ambiguity, polished communication style, strong stakeholder management, pre-sales experience, and the ability to quickly judge which AI/ML approach actually fits a client's problem

• A genuine passion for staying on top of a fast-moving AI landscape and separating what's useful from what's hype

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.

Ready to apply?

You'll need current working rights in Australia. If this sounds like you, we'd love to hear from you.