Machine Learning Engineer

24 hours ago

Sydney, New South Wales, Australia Intelligen Group Full time $80,000 - $120,000 per year

At Intelligen, our mission is to unlock data to drive new forms of competitive advantage. Our commitment to our people and clients means challenging the status quo to build long-term, impactful partnerships. We're redefining consulting and leading with authenticity.

We are a team of passionate, educated, and commercially focused professionals dedicated to doing things differently. We aim to transform the consultant-client dynamic into a trusted partnership where we serve as co-pilots and educators. We're currently seeking a new team member to join us on this journey.

Our Missing Team Member

We're on the lookout for an experienced Machine Learning Engineer to join our growing team, partnering & joining a large Retail programme of work.  This is an opportunity to work at the intersection of advanced analytics, cloud engineering, and applied machine learning to drive real-world outcomes.

You'll be embedded in a multidisciplinary team alongside Data Scientists and Engineers, designing and deploying scalable, production-grade ML pipelines and infrastructure. You'll also play a key role in shaping engineering practices and mentoring others as we grow capability and maturity in this space.

Key Responsibilities

  • Design and build robust cloud-native ML pipelines and infrastructure (primarily on GCP)
  • Collaborate closely with Data Scientists, ML and Data Engineers to bring models into production
  • Lead technical design discussions, produce solution architecture, and ensure scalability and reliability of solutions
  • Apply testing frameworks to validate and harden production solutions
  • Drive DevOps and MLOps best practices across the engineering community
  • Experiment with emerging technologies and pioneer approaches to reduce time to market and improve performance

Practice Development and Growth Enablement

  • Contribute to internal capability uplift through mentoring, sharing knowledge, and creating reusable components
  • Build scalable IP including ML engineering playbooks, deployment templates, and code libraries

Requirements

  • 2-3+ years of commercial software development experience, ideally in production-grade systems
  • 1+ years of hands-on Python, SQL, and Linux experience
  • Strong experience designing high-throughput batch or streaming pipelines
  • Proficient with cloud-native ML tooling (GCP highly preferred), Kubernetes or Docker
  • Familiar with ML algorithms, model development workflows, and scaling ML in production
  • Experience working with MLOps frameworks and CI/CD pipelines
  • A practical, problem-solving mindset - you can break down ambiguity and engineer robust solutions
     

Benefits

  • Shape Our Future: Help shape and grow our ML capability in one of Australia's most dynamic sectors
  • Flexibility: Hybrid working environment tailored to your lifestyle
  • Diverse Experience: Work across varied industries, challenges, and clients
  • Career Growth: Defined pathways for leadership and technical specialisation
  • Modern Tech: Work with the latest cloud platforms and ML tooling

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