In-Demand Machine learning engineer Jobs in Parramatta, Nsw

Data Scientist, Network Fabric Engineering
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- Laboratory
- Data analysis skills
- SQL
Technical Solutions Consultant, Google Photos (English, Mandarin)
Google —Sydney NSW
- Full-time
- Bachelor's degree
- No degree
12d
Senior Manager, Data Analytics Consulting
EPAM Systems, Inc. —Sydney NSW
- Azure
- AWS
- Machine learning
Senior Databricks Specialist Lead | AI & Data | Sydney
Deloitte —Sydney NSW
- Azure
- Salesforce
- SQL
- Parental leave
Senior Data Engineer, CX
NICE —Sydney NSW
- Master's degree
- SQL
- AWS
Quick Apply
Staff Engineer, Identity & Access Management
Okta —Sydney NSW
- Hybrid work
- Azure
- Management
- AWS
Quick Apply
Senior Solution Architect
AMP Limited —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Salesforce
- AWS
- Employee assistance program
- Employee discount
4d
Senior Software Engineer, Golang
Checkbox Technology —Sydney NSW
- Full-time
- Hybrid work
- AWS
- Software development
- APIs
Quick Apply
Senior Cyber Security Engineer
KION Group AG —Huntingwood NSW
- Full-time
- Hybrid work
- Azure
- Management
- Master's degree
- Employee assistance program
- Gym membership
Forward Deployed Engineer, Generative AI, GECX, Google Cloud
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
5d
Site Reliability Engineer, AML Platform - USDS
TikTok USDS JV —Sydney NSW
- On call
- Hybrid work
- Computer science
- Computer Science
- Master's degree
Artificial Intelligence - Architect
Infosys Singapore & Australia —Sydney NSW
- $800 - $950 a day
- Contract
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick Apply
Senior Data Analytics /BI Lead
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AI
- Analytics
- Annual leave
- Work from home
Senior Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Group Product Manager, Information and Infrastructure Protection
Google —Sydney NSW
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
2h

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Technical Solutions Consultant, Google Photos (English, Mandarin)
Google —Sydney NSW
3 years of experience troubleshooting technical issues for internal/external partners or customers. Bachelor’s degree or equivalent practical experience.
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Data Scientist, Network Fabric Engineering

Amazon Support Services Pty Ltd -
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

Statistical software
MATLAB
SAS
Data analysis skills
SQL
AWS
Bachelor's degree
Machine learning
Scripting
S3
AI

Full Job Description

DESCRIPTION

AWS Networking operates one of the largest and most complex networks on the planet. The team you'd join is responsible for the availability of that network — measuring how it performs for customers, predicting where it is most likely to degrade, and reshaping how we operate it as the workload grows.

We are in the middle of a significant change in how network operations are run. Lessons from our recent work on automation, AI, and ML — including agentic systems that triage and mitigate incidents alongside engineers — are feeding into a broader rethink of where humans focus, where automation takes over, and how we measure whether either is working. We are looking for a Data Scientist to join the team in Sydney to drive the data science strategy behind that change. You will define the metrics that matter, own the evidence the team uses to make decisions, and measure whether each decision delivered the outcomes we expected.

You'll be the data science voice on a team of senior network and software engineers — the person who decides what we measure, how we measure it, and what the numbers actually mean. Concretely, that means setting the analytical bar for the program, designing risk and reliability models against telemetry from millions of network devices, surfacing the patterns that drive customer-impact incidents, and turning that analysis into the dashboards and metrics our leaders use to set priorities. It also means owning the evaluations that tell us when a new piece of automation — including the agents we are rolling out to support engineers on the front line — is actually moving the needle on availability, and not just adding noise.

If you are a scientist who wants to shape how a tier-one production network is run — using data to drive program strategy, not just to support it — at a scale no academic lab or startup can match, and you're at your best as the data science voice embedded in a team of engineers, this is the team for you.

Key job responsibilities

Define and drive the data science strategy for the program — the metrics, the experiments, and what counts as evidence that a change worked
Lead the design and deployment of predictive risk and reliability models for network availability, using device failures, alarm telemetry, ticket data, and traffic signals
Own the evidence behind program decisions: where availability is at risk, where automation is ready to expand, where engineering effort has the highest leverage. Defend recommendations to senior technical and business audiences
Design and own the operational analytics and dashboards (Amazon QuickSight, Amazon CloudWatch, Python) used by senior leadership to track network health and the impact of operational change
Design and run experiments to evaluate the automation we are rolling out — including agentic systems supporting engineers on incidents — measuring whether each rollout improved availability
Drive data quality and classification improvements — event categorisation, root-cause attribution — so the program's metrics rest on solid ground
Build and own event-driven scoring pipelines (Python, SQL, AWS Lambda, Amazon S3, Amazon Athena) that keep the decide / measure / improve loop running
Bring statistical rigour to the engineers you partner with — review experiment designs, push back on unsupported assumptions, and raise the bar on how the team uses evidence

A day in the life
You might start the morning defining how the team will measure a new initiative — the success metrics, the counterfactual, the bar for calling it a win. By mid-morning you're with the engineering team turning a proposal into a decision: walking through trade-offs, pushing back where the data doesn't support an assumption. The afternoon is outcome measurement — refining the evaluation pipeline that tracks last week's rollout, updating the CloudWatch dashboard senior leadership uses to gate the next expansion, and prepping the data for an upcoming Director review.

About the team
We sit inside AWS Networking with a strong Sydney presence and a remit that spans network availability, the data and analytics that support it, and the automation we are building to change how operations are done. You'd be the data science voice in a small, senior team of network and software engineers in Sydney, partnering with the broader network engineering organisation across Seattle and Dublin. Small team, high autonomy, direct line to senior leadership, and a roadmap with real production impact rather than research demos.

BASIC QUALIFICATIONS

2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
1+ years of working with or evaluating AI systems experience

PREFERRED QUALIFICATIONS

Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Experience in defining and creating benchmarks for assessing GenAI model performance

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Apply Now

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machine learning engineer jobs in parramatta, nsw

Data Scientist, Network Fabric Engineering

Technical Solutions Consultant, Google Photos (English, Mandarin)

Senior Manager, Data Analytics Consulting

Senior Databricks Specialist Lead | AI & Data | Sydney

Senior Data Engineer, CX

Staff Engineer, Identity & Access Management

Senior Solution Architect

Senior Software Engineer, Golang

Senior Cyber Security Engineer

Forward Deployed Engineer, Generative AI, GECX, Google Cloud

Site Reliability Engineer, AML Platform - USDS

Artificial Intelligence - Architect

Senior Data Analytics /BI Lead

Senior Consultant - Data & Analytics (Open)

Group Product Manager, Information and Infrastructure Protection

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