About

• Join Us at a Defining Moment
• At Intelligen, we’re building something different. Over the past three years, we’ve evolved from a bold startup to a trusted partner for some of Australia’s most complex data transformations. We’ve helped organisations move from legacy to modern platforms, embedded governance into decision-making, and brought AI into the hands of the business - responsibly and at speed.
• But we’re just getting started. As we scale into our next phase of growth, we’re looking for senior, seasoned consultants who don’t just want to deliver great solutions - but help shape the future of data and AI capability across Australia.
• About the Role
• We’re looking for a Machine Learning Engineer to help us build and scale advanced analytics and AI solutions for some of the region’s most ambitious organisations. You’ll work at the heart of cross-functional teams to design, implement, and productionise machine learning solutions that create real business impact.
• This role is ideal for someone who loves solving abstract problems with elegant, scalable engineering - someone who thrives in agile environments and wants to be deeply embedded in delivery, not just research.
• What You’ll Do
• Design, build and maintain ML pipelines using cloud-native tools - predominantly in GCP, but also Azure or AWS depending on the client
• Collaborate with Data Scientists, ML Engineers and Data Engineers to bring ML models to life in production
• Build API endpoints, data pipelines and feature stores to support predictive modelling and decision automation
• Apply robust testing, observability and MLOps practices to ensure models are scalable and reliable
• Translate ambiguous business problems into clear engineering requirements and solutions
• Contribute to architectural decisions, technical design, and delivery strategy
• Share knowledge across our engineering guild - introducing new tools, patterns and reusable frameworks
• Communicate insights, designs, and working solutions clearly to both technical and business stakeholders
• 3+ years of commercial software development experience, ideally in data-heavy environments
• Strong Python and SQL skills, with experience working in Linux environments
• Experience building and scaling ML pipelines using tools like Kubeflow, Vertex AI Pipelines, Argo, or Airflow
• Familiarity with containerisation - e.g. Docker, Kubernetes
• Practical experience with modern ML techniques and libraries - e.g. deep learning, LLMs, GNNs, etc.
• Experience deploying solutions on cloud platforms - GCP preferred, but Azure or AWS also great
• Exposure to DevOps, MLOps, or microservices architecture is a plus
• Familiarity with dbt core and modern data engineering workflows a bonus
• A curious, problem-solving mindset and strong communication skills
• Why Intelligen?
• We’re not just delivering AI and data projects - we’re humanising them. That means we care deeply about the how, not just the what. We value curiosity, creativity, and a willingness to challenge the status quo.
• You’ll work with a team that’s smart, kind, and ambitious. You’ll have real influence - in your projects, your practice, and our business. And as we grow, so will you.
• Ready to do work that matters - and help shape the future of responsible AI? We’d love to meet you.