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/n Kogan.com is a pioneer of Australian eCommerce, and the software we build is used by millions of customers every day. You'll join a fast-moving engineering team with real ownership, shipping to production daily and using AI as part of how we work./n

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/n As a Data Engineer you'll design and run the data and ML pipelines that let teams across Marketing, Purchasing, Logistics and Finance make confident, data-driven decisions./n

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/n What you'll do:/n

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- Machine Learning Development: Design, build and deploy machine learning models that solve practical business problems, including recommendation systems, demand forecasting, customer segmentation, churn prediction, pricing optimisation and fraud detection.

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- Production ML Systems: Build reliable and scalable machine learning services that deliver predictions in both real time and batch environments, ensuring strong performance, reliability and cost efficiency.

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- MLOps & Automation: Develop and maintain MLOps pipelines that automate model training, validation, deployment, monitoring and retraining.

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- Feature Engineering: Work with large datasets to create robust feature pipelines and reusable datasets that improve model performance and accelerate experimentation.

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- LLM & Generative AI Applications: Design, evaluate and deploy AI powered solutions using large language models (LLMs), retrieval systems, agents and emerging AI technologies to enhance customer experiences and internal productivity.

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- Model Monitoring & Optimisation: Implement monitoring frameworks to track model performance, drift, accuracy and business impact, continuously improving models in production.

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- Cross Functional Collaboration: Partner with Product Managers, Engineers, Analysts and business stakeholders to identify opportunities where machine learning can create measurable value.

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- Software Engineering Excellence: Develop solutions in line with software engineering best practices, including Git, CI/CD, trunk based development, testing and observability.

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- AI Collaboration:



Contribute to experiments with AI and emerging technologies, helping shape how Kogan.com leverages machine learning and automation across the business.

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/n What you'll need:/n

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- Strong Python Skills: Commercial experience building machine learning applications and data pipelines using Python and relevant machine learning libraries.

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- Machine Learning Expertise: Hands on experience developing, evaluating and deploying machine learning models in production environments.

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- MLOps Experience: Experience building and maintaining model deployment, monitoring and retraining pipelines using modern MLOps practices and tools.

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- Data Engineering Foundations: Strong SQL skills and experience working with large datasets, feature engineering workflows and distributed data processing systems.

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- Cloud Experience: Hands on experience with cloud platforms, preferably Google Cloud Platform (GCP), including Vertex AI, BigQuery and Cloud Run.

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- Software Engineering Best Practices: Strong understanding of Git, CI/CD, testing frameworks, containerisation and production system reliability.

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- AI & LLM Experience: Experience working with LLMs, embeddings, vector databases, RAG architectures or AI agents through commercial or personal projects.

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- Problem Solving Mindset: A practical engineering approach that balances experimentation and innovation with reliability, scalability and business impact.

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- Recommendation & Forecasting Systems: Experience building recommendation systems, search ranking models or forecasting solutions.

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- ML Platforms & Tooling: Exposure to ML platforms and tools such as Vertex AI, Databricks, SageMaker or Kubeflow.

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- Streaming & Event Driven Systems: Experience with event driven architectures and streaming technologies such as Kafka or Pub/Sub.

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- LLM Application Deployment: Experience deploying AI applications powered by LLMs and agent frameworks.

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/n Why Kogan.com?/n

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- AI-Native Engineering: AI is deeply embedded in how our Engineering teams build and operate. We’re moving beyond standalone LLM use into agentic workflows, AI-assisted development and automation integrated into real engineering systems and processes. Engineers have access to leading AI tools, hands-on training and the freedom to experiment with new ways of designing, building and shipping software.

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- Our culture is unlike anywhere else and regardless of where you are in your career journey, we empower you to do your best work and have a big impact. Check us out https://devblog.kogan.com/ & https://goodteams.app/teams/kogan.com.

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- Work with an incredible team to solve important challenges, helping to drive Australia and Recent Zealand's eCommerce future.

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- Your role has a lot of ownership, autonomy and little red tape. You'll be empowered to achieve positive outcomes and your work will have a real impact.

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- You'll be at the forefront of the eCommerce industry and be part of a company that are the Pioneers of eCommerce in Australia.

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- Be an Intrepreneur, playing a hands on role in shaping our strategy at our HQ.

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- Learning budget of $1000.

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- A range of employee benefits such as; complimentary Kogan First Membership, team exclusive discounts, Health & Wellness program, Learning & Development and Lunch & Learns, Hackathons, Team member referral program, Company and team events and celebrations, community engagement (volunteering) and extensive career development opportunities plus loads more!

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/n To find out more about how we work, our tech stack, processes and company culture, visit https://careers.kogan.com and https://devblog.kogan.com/n

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📌 ML Engineer (Melbourne)
🏢 Kogan.com
📍 Melbourne