In-Demand Machine learning engineer / data scientist Jobs

Network Engineer- Automation & AI
Capgemini —Melbourne VIC
- Hybrid work
- Management
- AI
8h
AI Scientist - Immediate Start
NAB —Australia
- Urgently hiring
- AI
5d
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

Related jobs to explore

Based on your search for machine learning engineer / data scientist

Data Roles
Downer Group —Canberra ACT
Great perks: Enjoy discounts on healthcare, retail, vehicles, and more through Perks@Downer. We’re keen to hear from Defence industry professionals with ICT and…
Data Engineer (DataX)
Westpac Group —Sydney NSW
Tertiary qualifications in a relevant Technology discipline. Experience with feature stores and ML data pipelines.

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

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

Junior Data Engineer jobs in Sydney Nsw

Network Engineer jobs in Tasmania

Network Engineer jobs in Brisbane Qld

Civil Engineer jobs in Greater Adelaide Sa

Network Engineer jobs in Monash University Vic

Network Engineer- Automation & AI

Capgemini -
Melbourne VIC

Apply Now

Job Details

8 hours ago

Qualifications

CI/CD
Management
Ansible
Deployment
GitHub
Network engineering
AI
Jenkins

Full 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

Your profile

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 a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Apply Now

Refine Your Search

machine learning engineer / data scientist jobs

Network Engineer- Automation & AI

AI Scientist - Immediate Start

Lead Metallurgist / Mineral Processing Engineer (Canada or Australia)

Resource Geologist

Director, Business Development (Australia)

Related jobs to explore

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

Related Searches

Explore jobs in more locations

Your role

Your profile

What you’ll love about working here

Job Seeker Tools

Employer Tools

Browse

Stay Connected