In-Demand Machine learning engineer Jobs in Chadstone, Vic

Data Engineer
Kogan —South Melbourne VIC
- Full-time
- SQL
- AWS
- Machine learning
- Wellness program
Lead Research Collaboration Scientist, MI
GE HEALTHCARE —Hawthorn VIC
- Doctoral degree
- Engineering
- Research
- Annual leave
Senior Energy Analyst - Australia
Powerline —Melbourne VIC
- Full-time
- Hybrid work
- Microsoft Excel
- SQL
- Analysis skills
Google Data Engineer - GCP
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- Parental leave
Quick Apply
AI Technical Lead
Accenture —Melbourne VIC
- Full-time
- Azure
- Master's degree
- AWS
- On-the-job training
- Parental leave
Senior Gemini Platform Engineer
Accenture —Melbourne VIC
- Full-time
- Management
- ERP systems
- SQL
Senior Software Engineer/Architect - C++ (Must Have Aus Citizenship)
The Argyle Network —Melbourne VIC
- $150,000 a year
- Full-time
- Hybrid work
- Communication skills
Senior Backend Engineer
AutoGrab —South Yarra VIC
- Full-time
- Hybrid work
- AWS
- Machine learning
- Scripting
Quick Apply
Data Consultant, Melbourne
Practiv —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- SQL
- AI
Quick Apply
Senior AI Engineer
Karbon —Melbourne VIC
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Parental leave
Quick Apply
Lead C++ Software Engineer
The Argyle Network —Melbourne VIC
- $150,000 a year
- Full-time
- Hybrid work
Senior AI Engineer
Axsys —Melbourne VIC
- Computer Science
- Master's degree
- AWS
- Parental leave
Principal AI Engineer
Axsys —Melbourne VIC
- Computer Science
- Master's degree
- AWS
- Parental leave
Controls Engineer, APAC Controls Deployment & Service
Amazon Corporate Services Pty Ltd —Melbourne VIC
- Full-time
- Microsoft Word
- Microsoft Excel
- AWS
Senior Data Engineer - Data & AI
Axsys —Melbourne VIC
- Computer science
- Computer Science
- DevOps
- Parental leave
7d
AI Engineering Manager
Axsys —Melbourne VIC
- Computer Science
- Master's degree
- AWS
- Parental leave
Legal Specialist
Scissero —Melbourne VIC
- Remote
- AI
- Annual leave
- Employee assistance program
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Controls Technician, APAC Controls Deployment & Service
Amazon Corporate Services Pty Ltd —Melbourne VIC
- Full-time
- Engineering
- AWS
- Bachelor's degree
Lead Data Engineer
Karbon —Melbourne VIC
- Azure
- DevOps
- SQL
- Annual leave
- Parental leave
Quick Apply

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Data Engineer

Kogan
South Melbourne VIC

Apply Now

Job Details

Full-time

Benefits

Wellness program

Qualifications

CI/CD
Looker
Data modelling
Deployment
Git
Google Cloud Platform
Tableau
SQL
AWS
Docker
Machine learning
Scripting
APIs
AI

Full Job Description

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:

Scalable Pipeline Development: Design and maintain ETL/ELT pipelines capable of handling 10M+ daily events and large-scale data transfers across our platforms.
Data Modeling: Develop and optimize data models in environments like BigQuery or Snowflake to ensure high performance for both analytics and ML training sets with optimal cost
Support ML Workflows: Build the underlying features and data inputs required for Machine Learning models
Develop and refine ML models for practical business use cases, such as customer sentiment, churn prediction or demand forecasting
MLOps Integration: Establish and maintain MLOps pipelines to help automate the deployment and monitoring of models in production.
System Integration: Work with internal APIs and third-party tools to ingest data efficiently while maintaining strict data integrity.
Governance & Quality: Implement best practices for data quality, security, and documentation to ensure our data remains a "source of truth."
Development according to software engineering best practices (Git, CI/CD, trunk based development, tests)
AI Collaboration: Contribute to experiments with AI and LLMs to assess how they can be practically applied to solve business problems.

What you'll need:

Strong SQL Foundations: Solid experience writing and optimizing SQL for commercial-scale products (e.g., handling millions of rows and complex joins efficiently).
Pipeline Orchestration: Proven experience using tools like Airflow, dbt, or AWS Glue to manage and monitor production-grade data workflows.
Python Proficiency: Strong Python skills for data transformation, scripting and interacting with various data sources.
ML Engineering Exposure: Practical experience building the data infrastructure that supports machine learning, including data preprocessing and model deployment pipelines. Experience with machine learning models development
Cloud Experience: Hands-on experience with cloud data platforms, with a strong preference for GCP.
Software Best Practices: Familiarity with Git, CI/CD, and basic containerization (Docker) to ensure code quality and deployment reliability.
Problem-Solving Mindset: A practical approach to engineering that balances the need for speed with long-term system stability.

Bonus Points

Experience with event streaming (e.g., Kafka, Kinesis) for real-time data needs.
Exposure to ML platforms and tools such as SageMaker, Vertex AI, or Databricks.
Familiarity with BI and visualization tools like Looker or Tableau.
An interest in eCommerce dynamics and customer behavior analytics.

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!

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

Apply Now

Refine Your Search

machine learning engineer jobs in chadstone, vic

Data Engineer

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