In-Demand Machine learning engineer Jobs in Fitzroy, Vic

Data Engineer
Kogan —South Melbourne VIC
- Full-time
- SQL
- AWS
- Machine learning
- Wellness program
Principal AI Engineer
MYOB —Melbourne VIC
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Parental leave
AI Technical Lead
Accenture —Melbourne VIC
- Full-time
- Azure
- Master's degree
- AWS
- On-the-job training
- Parental leave
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Strategic Account Executive
Okta —Melbourne VIC
- Sales
- Business development
- Bachelor's degree
Test Lead - Employment Information Kit
ConnectEast —Ringwood VIC
- Part-time
- Azure
- Management
- DevOps
- Employee assistance program
Lead C++ Software Engineer
The Argyle Network —Melbourne VIC
- $150,000 a year
- Full-time
- Hybrid work
Risk Operations AI Specialist
Binance —Melbourne VIC
- Full-time
- Remote
- Bilingual
- Management
- Master's degree
Quick Apply
Lead Systems Engineer
ABB —Notting Hill VIC
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
2d
Senior AI Engineer
Karbon —Melbourne VIC
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Parental leave
Quick Apply
Lead Systems Engineer
ABB Australia Pty Limited —Notting Hill VIC
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
Quick Apply
3d
Principal AI Engineer
Axsys —Melbourne VIC
- Computer Science
- Master's degree
- AWS
- Parental leave
Senior Software Engineer/Architect - C++ (Must Have Aus Citizenship)
The Argyle Network —Melbourne VIC
- $150,000 a year
- Full-time
- Hybrid work
- Communication skills
Systems Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Scripting
- AI
AI Engineering Manager
Axsys —Melbourne VIC
- Computer Science
- Master's degree
- AWS
- Parental leave
Associate DevOps Analyst, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Scripting
- AI
Legal Specialist
Scissero —Melbourne VIC
- Remote
- AI
- Annual leave
- Employee assistance program
Senior Data Engineer
Forever New —Melbourne VIC
- Azure
- DevOps
- Administrative experience
- Employee discount
- Referral program
Lead Data Engineer
Karbon —Melbourne VIC
- Azure
- DevOps
- SQL
- Annual leave
- Parental leave
Quick Apply
Senior Data Scientist
Bapcor —Mount Waverley VIC
- Full-time
- Bachelor's degree
- Recruiting
- AI
- 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

AI-enabled. Human-driven. Shipping smarter every day.

Kogan.com is a pioneer of Australian eCommerce. Our vision is to use and build technology to deliver personalised, innovative and fast customer experiences. We are pragmatic in our solutions, scalable in our architecture, strong on quality and not afraid to fail fast. As a team, we are empowered to make change, share our views and build each other’s capability. We see where AI is heading and we are building towards it. We keep testing, learning and embedding new capabilities into our stack where they add value. It supports our engineers to move faster, make better decisions and focus on solving the right problems, increasing their impact.

The software we build, including www.kogan.com, is used by millions of customers, so this role has real impact. You will be a key member of a fast paced, independent and ambitious team, working across the full tech stack. We believe in using and building technology to improve the online shopping experience, and we are driven by seeing our software shipped to production every day.

As a Data Engineer at Kogan.com, you will help maintain and evolve the data of one of Australia’s largest eCommerce platforms. You will design and build reliable data and machine learning pipelines that enable teams across Marketing, Purchasing,Logistics and Finance to make informed, data-driven decisions.

You’ll work within a pragmatic engineering team to ensure data is clean, accessible, and scalable, supporting everything from day-to-day business operations to advanced predictive modeling.

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!

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.

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 fitzroy, vic

Data Engineer

Principal AI Engineer

AI Technical Lead

Senior AI Engineer, Data Science

Strategic Account Executive

Test Lead - Employment Information Kit

Lead C++ Software Engineer

Risk Operations AI Specialist

Lead Systems Engineer

Senior AI Engineer

Lead Systems Engineer

Principal AI Engineer

Senior Software Engineer/Architect - C++ (Must Have Aus Citizenship)

Systems Engineer, Region Services

AI Engineering Manager

Associate DevOps Analyst, Region Services

Legal Specialist

Senior Data Engineer

Lead Data Engineer

Senior Data Scientist

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