In-Demand Computer vision scientist, international machine learning, australia Jobs in Melbourne, Vic

Australia AI Adoption Specialist
Tomoro —Melbourne VIC
- $120,000 - $180,000 a year
- Full-time
- Hybrid work
- AI
- Health insurance
Quick Apply
Test Analyst
Howden Group Holdings —Melbourne VIC
- Full-time
- Analysis skills
- Agile
- Communication skills
Associate Data Scientist
Keypath Education —Melbourne VIC
- Remote
- Azure
- Data analysis skills
- Research
- Employee assistance program
17h
Remote support roles (work from home)
The Original PC Doctor —Ringwood VIC
- Remote
- Work from home
Expressions of Interest - Government & Defence - Australia Wide
Toll Group —Laverton North VIC
- Full-time
- Management
- Business
Scientist Grade 1
St Vincent's Health Australia —Melbourne VIC
- $63,674.00 - $91,785.20 a year
- Weekend availability
- Bachelor's degree
- Communication skills
- Time management
- Employee assistance program
- Employee discount
6d
Research Fellow - Federated & Multimodal Learning
Monash University —Clayton VIC
- $123,138 - $146,228 a year
- Full-time
- Hybrid work
- Research
- AI
14d
Scientist (Molecular)
BioAgilytix —Melbourne VIC
- Full-time
- Management
- Doctoral degree
- Writing skills
Quick Apply
4d
Aerospace Tradesperson
Boeing —Port Melbourne VIC
- $101,088 - $110,919 a year
- Full-time
- Manufacturing
- Communication skills
- Health insurance
- Tuition reimbursement
Data Scientist
Coles Group —Hawthorn East VIC
- Full-time
- SQL
- Machine learning
- No degree
- Free parking
- Employee stock purchase plan
1d
Environmental Scientist
KBR —Melbourne VIC
- Full-time
- Engineering
- Health insurance
- Parental leave
Quality Assurance Rater - English (Australia)
TELUS Digital —Bulleen VIC
- $23 an hour
- Management
- Research
- Analysis skills
Junior Systems Analyst
RACV —Melbourne VIC
- Full-time
- Hybrid work
- Management
- Administrative experience
- Communication skills
5d
Learning Specialist - Artificial Intelligence - Policy & Preparation
Government schools —Melbourne Northern Suburbs VIC
- Full-time
- Administrative experience
- Senior Secondary Certificate of Education
- AI
16h
Operations Manager, Australia
Whatnot —Melbourne VIC
- $150,000 - $200,000 a year
- Full-time
- Hybrid work
- AI
- Work from home
Analyst - GIS
SMEC —Melbourne VIC
- Full-time
- Engineering
- Parental leave
9d
Information Technology Service Desk analyst (Australia)
STACK Infrastructure APAC —Melbourne VIC
- Full-time
- Azure
- Management
- Microsoft Office
Quick Apply
Workstation Computer Repair Technician
Aftershock PC —West Melbourne VIC
- $60,000 - $80,000 a year
- Full-time
- Management
- Writing skills
- In-person
- Employee discount
Quick Apply
8d
Graduate Program | A&A | Controls Assurance - Technology Risk
Deloitte —Melbourne VIC
- Full-time
- Computer Science
- Communication skills
- Parental leave
14d
Experience Designer I
Electronic Arts —Melbourne VIC
- Temporary
- Communication skills
- Health insurance
- Annual leave
18h

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computer vision scientist, international machine learning, australia jobs near melbourne, vic

Australia AI Adoption Specialist

Tomoro -
Melbourne VIC

Quick Apply

Job Details

Full-time
$120,000 - $180,000 a year

Benefits

Health insurance

Qualifications

MCP
Slack
AI

Full Job Description

About Human ProductivityThe Role

As an AI Adoption Specialist, your job is to help enterprise teams work better with AI by changing how work gets done.

You’ll sit at the intersection of workflow design, AI literacy, and the effective use of state-of-the-art general purpose AI tools. Some weeks you're embedded with a client team, observing how work really happens and redesigning it so AI carries the load. Other weeks you're creating the assets and approaches that make the new way of working stick: prompts, skills, quality checks, lightweight automations/ integrations, and simple tools built collaboratively alongside client teams.

You'll work alongside Tomoro's AI Engineers. They build production-grade AI systems. You make sure the humans around those systems (and the humans who don't yet have those systems) are getting the most out of AI, every day.

Think of the goal as five days of outcomes in three days of effort.

What You'll Be DoingWorkflow Discovery and Redesign

Embed with client teams to understand how work actually happens, not how it's supposed to happen. Follow the time, find the friction, and surface the real bottlenecks rather than the ones on the process diagram.
Redesign workflows around AI: accelerating what's already there, removing the drudgery, and unlocking things that weren't previously possible. Measure impact at the workflow level — cycle time, rework, quality consistency, throughput — and track adoption signals as evidence the change is sticking.
Build momentum through short, focused engagements: co-labs, sprints, 1-to-1 and small group coaching that make progress visible fast.

Creating What Teams Need to Adopt AI

Co-create and ship assets teams actually reuse: prompts, custom instructions, skills, QA checks, evaluation prompts, and playbooks. If it isn't reusable, it isn't finished.
Use AI-assisted development tools (Claude Code, Codex, MCP) as your default for building small automations and integrations that remove friction, inside the platforms teams already use: ChatGPT, Adobe, Slack, Microsoft Teams. Connect tools and data sources so teams stop copy-pasting and start flowing.
Build to reflect how the client actually operates: their tone, constraints, risk posture, and governance expectations. Know the ceiling too. When off-the-shelf tools run out of road on reliability, integration, or scale, help shape the next step with Tomoro's AI Engineering team.

Coaching and Sustaining Capability

Move people from "I should use AI" to "AI is my default first step" by working and building alongside them, not by putting them in a room with slides.
Build trust quickly with people who are sceptical, overwhelmed, or both. The antidote isn't a workshop. It's doing real work together and letting the outcomes speak. Coach prompting and verification without being dogmatic, and build the champions and routines that keep improving after you leave.
Help define the conditions for lasting adoption: new habits, processes, incentives, and ways of working. Where you find people who want to go further, help them grow into AI builders themselves.

Requirements

About You

You don't need to come from one specific background. We're looking for people who combine a few things that rarely sit together.

You might be a freelance AI practitioner who's been helping companies adopt AI tools and wants to do it at scale. You might come from an ops or enablement role inside a product company, where you've seen first-hand how hard it is to change how people work. You might have an L&D or behavioural change background and have been pulling AI into your practice because it's clearly where the value is. Or you might be a domain expert - someone deep in a specific field who got frustrated with inefficient ways of working and taught yourself to use AI to do your job faster and better, and now you want to help others do the same.

What matters more than your title is how you work.

These things are the most important attributes for you to be successful.

Being AI-native

You default to AI. Not because it’s novel, but because it helps you get things done. You iterate fast, verify intelligently, and use AI throughout your everyday work.

What good looks like:

You can go from messy input to a reusable asset quickly.
You know when AI is helping versus confidently making things up.
You naturally build simple feedback loops - checks, reviews, sampling - into workflows.

Focus on use and adoption

You care about whether something is useful and whether it will actually be adopted.

What good looks like:

You design workflows that reduce cognitive load, not increase it.
Assets and solutions you create are easy to reuse, easy to adapt, and hard to misuse.
You can explain why the workflow is designed the way it is.

Coaching and behaviour change

You can help people build capability without turning it into training theatre.

What good looks like:

Teams become more confident because they're doing real work with AI, not watching slides or unrelated demos.
You can coach prompting, review habits, and verification without sounding dogmatic.
You build champions and routines that keep improving after you leave.

AI Tooling Literacy

You love exploring AI tools and their application. You know what's available and how to apply it to real work constraints.

What good looks like:

You can pick the right tool, model, or pattern for the task and explain why.
You notice when the landscape meaningfully shifts and translate that into practical options.
You can explain technical concepts to non-technical clients without dumbing them down.

Autonomy and Resourcefulness

You work things out. You don't wait for permission or perfect information.

What good looks like:

You can research a workflow within a new domain quickly and demonstrate opportunities for AI.
You naturally test, learn, and adapt.
When something doesn't work, you try another approach without drama.

Benefits

Generous holiday entitlement

Private medical insurance
Wellness plan
Life Policy
Employee Assistance Programme
Pension
Access to global exclusive discount & savings platforms
And more!

Quick Apply

Refine Your Search

computer vision scientist, international machine learning, australia jobs in melbourne, vic

Australia AI Adoption Specialist

Test Analyst

Associate Data Scientist

Remote support roles (work from home)

Expressions of Interest - Government & Defence - Australia Wide

Scientist Grade 1

Research Fellow - Federated & Multimodal Learning

Scientist (Molecular)

Aerospace Tradesperson

Data Scientist

Environmental Scientist

Quality Assurance Rater - English (Australia)

Junior Systems Analyst

Learning Specialist - Artificial Intelligence - Policy & Preparation

Operations Manager, Australia

Analyst - GIS

Information Technology Service Desk analyst (Australia)

Workstation Computer Repair Technician

Graduate Program | A&A | Controls Assurance - Technology Risk

Experience Designer I

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