In-Demand Machine learning engineer / data scientist Jobs

Network Engineer - AI & Automation - Sydney/Melbourne
Capgemini —Melbourne VIC
- Hybrid work
- Management
- AI
3d
Network Engineer - AI & Automation - Sydney/Melbourne
Capgemini Sogeti —Melbourne VIC
- Hybrid work
- Management
- AI
1d
AI Scientist - Immediate Start
NAB —Australia
- Urgently hiring
- AI
6d
Lead Metallurgist / Mineral Processing Engineer (Canada or Australia)
Stratum AI —Australia
- Full-time
- Remote
- Analysis skills
- Presentation skills
- Machine learning
Quick Apply
Resource Geologist
Stratum AI —Australia
- Full-time
- Analysis skills
- Presentation skills
- Machine learning
Quick Apply
Director, Business Development (Australia)
Stratum AI —Australia
- Full-time
- Remote
- Hospitality
- Sales
- Business development
Quick Apply

I want to receive the latest job alert for machine learning engineer / data scientist

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

machine learning engineer / data scientist jobs near

Network Engineer jobs in Melbourne VIC

Automation Engineer jobs in Melbourne VIC

Ai Scientist jobs in Melbourne Vic

Ai Scientist jobs in Remote

Ai Training jobs in Macquarie Park Nsw

Ivf,embryologist, Lab Scientist jobs in Perth Wa

Network Engineer jobs in Brisbane Qld

Network Engineer jobs in Sydney Nsw

Justice Health Forensic Mental Health Network jobs in Sydney Olympic Park Nsw

Network Engineer jobs in Macquarie Park Nsw

Network Engineer jobs in Northern Territory

R&d Engineer jobs in Sydney Nsw

Automation Engineer jobs in Narre Warren South Vic

Working Holiday Visa, Data Analyst, Data Engineer jobs in Sydney Nsw

Part Time Engineer jobs in Sydney Nsw

Automation Engineer jobs in Lemon Tree Passage Nsw 2319

Automation Engineer jobs in Remote

Engineer jobs in Sydney Nsw

Network Engineer - AI & Automation - Sydney/Melbourne

Capgemini -
Melbourne VIC

Apply Now

Job Details

3 days ago

Qualifications

CI/CD
Management
Ansible
GitHub
Network engineering
AI
Jenkins

Full Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Your role:

As an Access Network Engineer with a specialised focus on introducing AI & Automation to solution engineering and the delivery lifecycle, you will play a key role in building and scaling AI & Automation-powered engineering capabilities that improve efficiency, reduce manual effort, and enhance decision-making across design, testing, and deployment workflows.

This is a hands-on engineering role focused on delivering real, production-grade solutions—from AI assistants to end-to-end automation pipelines—that will be used daily by engineering teams, transforming the way they design, test, and deploy network solutions.

You will play a key role in:

Developing AI assistants to support engineering teams, including backlog management, development, test, knowledge retrieval, troubleshooting, and insights generation.
Implementing “human-in-the-loop” models to ensure accuracy and trust, while ensuring security and responsible AI standards are followed.
Building solutions leveraging existing Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG) & machine learning models for analysis and prediction.
Identifying and automating repetitive or manual processes across design, test, and deployment workflows

What We’re Looking For:

6+ years in Layer 2 & 3 network engineering and solution development, with hands-on experience in building automation or AI/ML solutions
Hands on experience building automation workflows, scripts, or pipelines.
Hands-on experience with AI/ML or Generative AI technologies (LLMs, prompt engineering, RAG)
Experience building AI assistants and managing the lifecycle of the assistants
CI/CD and DevOps practices (e.g. Jenkins, Ansible, GitHub Actions, Python, ArgoCD)

Exposure in one or both the below areas:
- FTTx Access Network: GPON/XGSPON (OLT, ONT), Intent Based Networking
- FTTx EMS Applications: Containerised (AAC), Virtualised (ACS, AMS),

What you’ll love about working here

Experience a Positive Work-Life Balance: We prioritize your well-being with hybrid and flexible working arrangements, making it easy to balance your personal and professional life.
Own your Growth: Dive into endless learning opportunities with courses from Capgemini University and numerous external certifications. Benefit from digital learning platforms and specialized campuses in AI, Cloud, Data, and Sustainability. Propel your career with our award-winning Career Acceleration programs.
Thrive in an Inclusive Environment: We don't just believe in inclusion; we live it. Be part of a workplace that values authenticity, inclusion, and belonging. We encourage applications from all backgrounds, even if you don’t meet every requirement. Research shows that individuals from underrepresented groups often hesitate to apply unless they meet every criterion. If you're excited about this role, we welcome your application and invite you to share what you can bring.
Work with Integrity: Join a company recognized by Ethisphere as one of the World’s most Ethical companies.
Collaborate with Industry Leaders: Gain exposure to top global companies, including 145 of the Fortune 500, through your work with Capgemini.
Showcase Your Skills: Participate in our internal annual global tech challenges and help address world issues.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com

Apply Now

Refine Your Search

machine learning engineer / data scientist jobs

Network Engineer - AI & Automation - Sydney/Melbourne

Network Engineer - AI & Automation - Sydney/Melbourne

AI Scientist - Immediate Start

Lead Metallurgist / Mineral Processing Engineer (Canada or Australia)

Resource Geologist

Director, Business Development (Australia)

I want to receive the latest job alert for machine learning engineer / data scientist

Related Searches

Explore jobs in more locations

Job Description

What We’re Looking For:

What you’ll love about working here

Job Seeker Tools

Employer Tools

Browse

Stay Connected