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Kogan.com

Posted 3 months ago

Open

ML Engineer

MelbourneOn-siteFull-time

AI Summary

A Data Engineer focused on designing, building, and deploying machine learning and MLOps pipelines to support data-driven decision-making across marketing, purchasing, logistics, and finance.

About this role

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.
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.

What you'll do:

  • 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.
  • 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.
  • MLOps & Automation: Develop and maintain MLOps pipelines that automate model training, validation, deployment, monitoring and retraining.
  • Feature Engineering: Work with large datasets to create robust feature pipelines and reusable datasets that improve model performance and accelerate experimentation.
  • 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.
  • Model Monitoring & Optimisation: Implement monitoring frameworks to track model performance, drift, accuracy and business impact, continuously improving models in production.
  • Cross Functional Collaboration: Partner with Product Managers, Engineers, Analysts and business stakeholders to identify opportunities where machine learning can create measurable value.
  • Software Engineering Excellence: Develop solutions in line with software engineering best practices, including Git, CI/CD, trunk based development, testing and observability.
  • AI Collaboration: Contribute to experiments with AI and emerging technologies, helping shape how Kogan.com leverages machine learning and automation across the business.

    • What you'll need:

    • Strong Python Skills: Commercial experience building machine learning applications and data pipelines using Python and relevant machine learning libraries.
    • Machine Learning Expertise: Hands on experience developing, evaluating and deploying machine learning models in production environments.
    • MLOps Experience: Experience building and maintaining model deployment, monitoring and retraining pipelines using modern MLOps practices and tools.
    • Data Engineering Foundations: Strong SQL skills and experience working with large datasets, feature engineering workflows and distributed data processing systems.
    • Cloud Experience: Hands on experience with cloud platforms, preferably Google Cloud Platform (GCP), including Vertex AI, BigQuery and Cloud Run.
    • Software Engineering Best Practices: Strong understanding of Git, CI/CD, testing frameworks, containerisation and production system reliability.
    • AI & LLM Experience: Experience working with LLMs, embeddings, vector databases, RAG architectures or AI agents through commercial or personal projects.
    • Problem Solving Mindset: A practical engineering approach that balances experimentation and innovation with reliability, scalability and business impact.

      • Bonus Points

      • Recommendation & Forecasting Systems: Experience building recommendation systems, search ranking models or forecasting solutions.
      • ML Platforms & Tooling: Exposure to ML platforms and tools such as Vertex AI, Databricks, SageMaker or Kubeflow.
      • Streaming & Event Driven Systems: Experience with event driven architectures and streaming technologies such as Kafka or Pub/Sub.
      • LLM Application Deployment: Experience deploying AI applications powered by LLMs and agent frameworks.

    Why Kogan.com?

  • 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.
  • Work with an incredible team to solve important challenges, helping to drive Australia and New Zealand's eCommerce future.
  • 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.
  • You'll be at the forefront of the eCommerce industry and be part of a company that are the Pioneers of eCommerce in Australia.
  • Be an Intrepreneur, playing a hands on role in shaping our strategy at our HQ.
  • Learning budget of $1000.
  • 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!

    • Skills

    BigQueryCI/CDCloud RunGCPLLMMachine LearningMLOpsPythonSQLVertex AI

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