Machine Learning Engineer

2 days ago

Sydney, Australia ClearCompany Full time

Overview

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.

Responsibilities

- 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

Requirements

- 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

Benefits

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.

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