In-Demand Systems/devops engineer Jobs in Melbourne, Vic

AI/ML Computational Scientist
Accenture —Melbourne VIC
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Senior Site Reliability Engineer
Blinq —Melbourne VIC
- On call
- Hybrid work
- DevOps
- AI
- Annual leave
Project Lead
Avanade —Melbourne VIC
- Azure
- ERP systems
- Conflict management
Distribution Technical Solution Designer and Advisor
GE Vernova —Melbourne VIC
- Full-time
- Writing skills
- Bachelor's degree
Senior React Native Developer
Trideca —Melbourne VIC
- Full-time
- DevOps
- SQL
- APIs
Quick Apply
4d
Senior Technical Lead
HCLTech —Melbourne VIC
- On call
- Azure
- Management
- DevOps
6d
Principal Cloud Engineer
Victorian Government —Melbourne VIC
- $142,790 - $191,084 a year
- Full-time
- Hybrid work
- Azure
- Management
- AWS
6d
Infrastructure Automation Lead
RACV —Melbourne VIC
- On call
- Azure
- AWS
Senior Technical Business Analyst
AustralianSuper —Melbourne VIC
- Full-time
- Azure
- Computer Science
- DevOps
2d
Specialist SA, Developer Transformation
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Public speaking
- SQL
Squad Lead
HUB24 —Melbourne VIC
- Full-time
- AWS
- Software development
- APIs
Senior Full Stack Developer
LAB3 —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Master's degree
Quick Apply
Software Architect (IFS Cloud)
InfoConsulting Group —Melbourne VIC
- Full-time
- Remote
- ERP systems
- Bachelor's degree
- APIs
Quick Apply
Senior Backend Engineer - Engine
Easygo —Melbourne VIC
- AI
- Employee assistance program
Quick Apply
Technical / Data / Config
IQ Group —Melbourne VIC
- DevOps
- Communication skills
Solutions Architect
Future Secure AI —Melbourne VIC
- Azure
- Computer Science
- DevOps
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Insignia Financial Ltd —Docklands VIC
- Full-time
- Azure
- DevOps
- AWS
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systems/devops engineer jobs near melbourne, vic

AI/ML Computational Scientist

Accenture -
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

Law
Doctoral degree
Computer Science
System architecture
Master's degree
SQL
Education
Bachelor's degree
Machine learning
APIs
Cloud computing
AI
Communication skills

Full Job Description

YOU ARE

As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

THE WORK

Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions

Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps

Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC

Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites

Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production

Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools

Justify the value of model approaches in business problems

Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

EDUCATION

Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

Minimum of 7 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.

Minimum of 7 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

Minimum of 5 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks

Minimum of 4 years of experience in building and deploying AI/ML based software to a cloud environment.

PREFERRED QUALIFICATION

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..

Experience working with language models like LLM's APIs and optimizing their usage for specific applications.

Experience with the following programming languages: Python, C++, Java, R, SQL

Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders

Strong client-facing skillsets in a consulting environment

Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams

Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

MS or PhD in related field preferred (computer science, engineering, etc.)

Apply Now

Refine Your Search

systems/devops engineer jobs in melbourne, vic

AI/ML Computational Scientist

Senior Site Reliability Engineer

Project Lead

Distribution Technical Solution Designer and Advisor

Senior React Native Developer

Senior Technical Lead

Principal Cloud Engineer

Infrastructure Automation Lead

Senior Technical Business Analyst

Specialist SA, Developer Transformation

Squad Lead

Senior Full Stack Developer

Software Architect (IFS Cloud)

Senior Backend Engineer - Engine

Technical / Data / Config

Solutions Architect

Lead Engineer - Integration

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