Sydney Olympic Park, New South Wales ****, Australia
Full-time Permanent Mid-level Senior
Posted 20 Aug ****
Description
Build the Data.
Power the Predictions.
Shape the Future of Retail.
At 4WD Supacentre, home of
Adventure Kings
, we're one of Australia's fastest-growing adventure and outdoor retailers — and we're investing in the next generation of our data and AI capability.
We're looking for an experienced
Data Engineer – AI/ML
to help build the data and machine-learning solutions that will drive smarter decisions across forecasting, inventory, ecommerce, marketing and supply chain.
This is a
hands-on technical role
where you'll work across the complete ML lifecycle — from feature engineering and model development through to deployment, monitoring and measurable business outcomes.
Location:
Sydney Olympic Park, NSW
Employment:
Permanent | Full-Time
Work Arrangement:
On-site, 5 days per week
Parking:
Provided
What You'll Be Working On
This isn't AI for the sake of AI.
You'll work on real commercial problems that directly influence how we operate our stores, ecommerce business and distribution network.
Your initial projects will include:
Demand forecasting
– predicting product, store, seasonal and peak-period demand
Inventory optimisation
– improving stock allocation and reducing stock-outs and excess inventory
Promotion forecasting
– predicting demand uplift before campaigns launch
Marketing attribution
– understanding which campaigns and products drive incremental sales
Store clustering
– identifying stores with similar demand patterns
Seasonal forecasting
– understanding Australian seasonal and holiday demand
Website demand signals
– using search, product views, cart activity and conversion as leading indicators
Inventory risk prediction
– identifying potential stock-outs, excess stock and slow-moving products
Current-product forecasting
– predicting demand where limited historical sales data exists
Your Mission
You'll work closely with our Technology, Data, Ecommerce, Marketing, Merchandise, Supply Chain, Inventory and Operations teams to turn complex business problems into practical AI/ML solutions.
You'll be responsible for:
Building scalable data pipelines and ML-ready datasets




Developing feature engineering pipelines using retail, ecommerce and operational data
Building, training and tuning machine-learning models
Performing model validation, backtesting and cross-validation
Deploying models into production
Monitoring forecast accuracy and model performance
Identifying data and model drift
Building automated testing and data-quality controls
Integrating multiple business systems and data sources
Continuously improving model accuracy and commercial performance
Your Tech Environment
Our AI/ML environment is built around
Google Cloud
, including:
BigQuery | Vertex AI | Cloud Storage | Dataflow | Pub/Sub | Cloud Run | Cloud Functions | Google Cloud Logging & Monitoring | IAM | Secret Manager
Strong experience with
BigQuery and Vertex AI
will be particularly valuable.
You don't need to have worked with every Google Cloud service, but you should be comfortable designing and supporting production AI/ML solutions in a cloud environment.
Beyond Traditional Machine Learning
As our AI capability continues to develop, you may also have the opportunity to work across:
Generative AI and LLM applications
Autonomous and multi-agent systems
Agentic RAG, Self-RAG and GraphRAG
LangChain and LangGraph
CrewAI and AutoGen
MCP
AI evaluation
We're particularly interested in engineers who understand
when traditional ML is the right solution, when Generative AI adds value and when an Agentic AI architecture genuinely makes sense for the business
.
You're Our Kind of Person If...
You're technically strong, commercially aware and someone who takes ownership.
When you're given a messy dataset or a difficult business problem, you don't wait for someone else to tell you exactly what to do.
You investigate, test, prototype and find a practical way forward.
You're equally comfortable getting into the technical detail and explaining the commercial impact to stakeholders.




Most importantly, you have a
bias towards action
— you take ownership, solve problems and get things done.
What You'll Bring
5+ years' experience
in Data Engineering, ML Engineering, AI Engineering or a related discipline
Strong
Python and SQL
skills
Forecasting or predictive analytics experience
Experience training, tuning and evaluating ML models
Experience taking ML models into
production
Understanding of model monitoring and drift
Experience working with large and complex datasets
Experience integrating multiple business systems and data sources
API and cloud data-platform experience
Strong understanding of data quality and validation
Strong analytical and problem-solving capability
Ability to communicate with technical and non-technical stakeholders
Agile, Scrum or hybrid delivery experience
Bonus Points
Experience with
GCP, Vertex AI, time-series forecasting, demand forecasting, inventory optimisation, recommendation systems, clustering, BigQuery ML, MLOps, retail/ecommerce data, SAP, Salesforce, Shopify, Magento, Generative AI, RAG or Agentic AI
will be highly regarded.
Why Join 4WD Supacentre?
You'll have the opportunity to help build our AI/ML capability rather than simply maintain an established environment.
You'll get:
Competitive remuneration
Ownership of meaningful
Google Cloud AI/ML projects
Real-world projects with measurable commercial impact
Exposure to large retail, ecommerce, inventory and supply-chain datasets
Opportunity to influence how AI is used across the business
Exposure to modern Generative and Agentic AI
On-site role at
Sydney Olympic Park
Parking provided
Ready to Build What's Next?
If you're an experienced
Data Engineer / AI/ML Engineer
who enjoys solving difficult problems, building production solutions and seeing your work make a genuine commercial impact, we'd love to hear from you.
Company Overview
4WD Supacentre is one of Australia's leading and fastest growing omni-channel retailers.
We are a family-operated business that specialises in outdoor recreation and lifestyle products.
Our people are passionate about the outdoors and the lifestyle that we can bring to our customers and the community.
#J-*****-Ljbffr

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