Kogan.com7 followers6 jobs

ML Engineer

Mid levelSeniorFull-timeOfficeSouth Melbourne VIC 3205, AustraliaPosted 3 months agoVerified 3 months ago
Pending fitX of Y criteria met

About the job

As a Data Engineer at Kogan.com, you will be part of a pioneering team in Australian eCommerce, designing and running data and machine learning pipelines that empower various teams to make confident, data-driven decisions. Your contributions will have a significant impact on the business, enhancing customer experiences and driving innovation. The team thrives on collaboration and values autonomy, allowing you to take ownership of your work and make a real difference.

You'll be responsible for

🧠

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.
🤝

Cross Functional Collaboration

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

Key criteria

🐍

Strong Python skills

Proven experience building ML applications and data pipelines using Python.

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📊

Machine learning expertise

Hands-on experience developing and deploying ML models in production environments.

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☁️

Cloud experience

Experience with Google Cloud Platform, including Vertex AI and BigQuery.

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Meet the team

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5 criteria for this job
Strong Python skills
Proven experience building ML applications and data pipelines using Python.

View

Machine learning expertise
Hands-on experience developing and deploying ML models in production environments.

View

Cloud experience
Experience with Google Cloud Platform, including Vertex AI and BigQuery.

View

MLOps experience
Demonstrated experience building and maintaining model deployment pipelines.

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Data engineering foundations
Strong SQL skills and experience with large datasets and feature engineering.

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