In-Demand Machine learning engineer Jobs in Docklands, Vic

Data Engineer
Kogan —South Melbourne VIC
- Full-time
- SQL
- AWS
- Machine learning
- Wellness program
AI Engineer - Melbourne
Oliver Wyman —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
14d
Performance Engineer
CloudMarc —Melbourne VIC
- Agile
Data Test Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
5d
Legal Specialist
Scissero —Melbourne VIC
- Remote
- AI
- Annual leave
- Employee assistance program
Full Stack LLM Engineer
Accenture —Melbourne VIC
- Full-time
- Master's degree
- Bachelor's degree
- AI
- On-the-job training
- Parental leave
12d
Associate Support Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Bachelor's degree
- Scripting
Senior/Software Engineer (Backend, Java) - Risk
Binance —Melbourne VIC
- Full-time
- Remote
- Master's degree
- SQL
- Analysis skills
Quick Apply
System Engineer - Workplace Technology
Kmart —Chadstone VIC
- Azure
- Customer service
- Microsoft Office
- Employee stock purchase plan
AI Engineer - FDE (Forward Deployed Engineer)
Databricks —Melbourne VIC
- Azure
- Computer Science
- AWS
Account Manager – Geoscience (m/f/*)
Quaisr —Melbourne VIC
- $120,000 - $145,000 a year
- Full-time
- CRM software
- Doctoral degree
- Master's degree
- Annual leave
AI ML Engineer
Infosys Singapore & Australia —Melbourne VIC
- Full-time
- Azure
- Management
- Computer Science
Quick Apply
AI Engineer (Senior)
AMP Limited —Melbourne VIC
- Full-time
- Azure
- AWS
- Machine learning
Founding ML Engineer
Base Compute —Melbourne VIC
- Full-time
- Master's degree
- AI
Quick Apply
10d
Specialist SA, Developer Transformation
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Public speaking
- SQL
Data Consultant, Melbourne
Practiv —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- SQL
- AI
Quick Apply
Data Engineer - 12 Month Opportunity - Hybrid
Flybuys —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AWS
- No degree
- Work from home
13d
Snowflake Data Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
5d
Data Scientist
Publicis Groupe Holdings B.V —Southbank VIC
- Azure
- Data analysis skills
- SQL
Quick Apply
16h
AI Software Engineer
Andromeda Robotics —South Melbourne VIC
- Full-time
- Systems design
- Databases
- AI
Quick Apply

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machine learning engineer jobs near docklands, vic

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 docklands, vic

Data Engineer

AI Engineer - Melbourne

Performance Engineer

Data Test Engineer

Legal Specialist

Full Stack LLM Engineer

Associate Support Engineer, Region Services

Senior/Software Engineer (Backend, Java) - Risk

System Engineer - Workplace Technology

AI Engineer - FDE (Forward Deployed Engineer)

Account Manager – Geoscience (m/f/*)

AI ML Engineer

AI Engineer (Senior)

Founding ML Engineer

Specialist SA, Developer Transformation

Data Consultant, Melbourne

Data Engineer - 12 Month Opportunity - Hybrid

Snowflake Data Engineer

Data Scientist

AI Software Engineer

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