In-Demand Devops architect Jobs in Melbourne, Vic

AI/ML Computational Scientist
Accenture —Melbourne VIC
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Databricks Engineer
Accenture —Melbourne VIC
- Full-time
- Azure
- Management
- DevOps
- On-the-job training
- Parental leave
Enterprise Gen AI Solutions Architect
NTT DATA —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Management
- SQL
- Parental leave
AWS Cloud Native Developer
Accenture —Melbourne VIC
- Full-time
- DevOps
- AWS
- Scripting
Observability Architect
Infosys —Melbourne VIC
- $150,742 - $171,215 a year
- Administrative experience
- Scripting
- AI
- Health insurance
- Parental leave
11d
AWS Mainframe Modernization Architect
Accenture —Melbourne VIC
- Full-time
- AWS
- AI
- Leadership
Sr Agentic FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
GenAI FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
Associate Solutions Architect, APJ ECT SA (PACE)
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- AWS
14d
Systems Engineer
Coles Group —Hawthorn East VIC
- Full-time
- Administrative experience
- Scripting
- APIs
- Free parking
- Employee stock purchase plan
12d
Senior MuleSoft Developer
Delivery Centric Technologies —Melbourne VIC
- Full-time
- Computer science
- Oracle
- Computer Science
Quick Apply
10h
Specialist Solutions Architect - Amazon Connect, Applied AI Solutions
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- AWS
- AI
Microsoft Azure Solution Architect
Pyramid Global Technologies —Melbourne VIC
- Azure
- DevOps
- SQL
Salesforce Marketing Solution Architect
Accenture —Melbourne VIC
- Full-time
- Salesforce
- SQL
- Leadership
Software Architect (IFS Cloud)
InfoConsulting Group —Melbourne VIC
- Full-time
- Remote
- ERP systems
- Bachelor's degree
- APIs
Quick Apply
Senior DevSecOps Engineer (AWS)
FrankieOne —Melbourne VIC
- On call
- Hybrid work
- Management
- AWS
- AI
8h
Tech Lead - Cloud and Analytics Platform - Capital Markets
The Argyle Network —Melbourne VIC
- $180,000 a year
- Full-time
- DevOps
- AWS
- AI
Senior Agile Business Analyst
Metricon —Melbourne VIC
- Full-time
- CRM software
- Azure
- DevOps
Network Engineer- Automation & AI
Capgemini —Melbourne VIC
- Hybrid work
- Management
- AI
ServiceNow ITOM
Infosys —Melbourne VIC
- $150,742 - $171,215 a year
- Azure
- DevOps
- AWS
- Health insurance
- Parental leave

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devops architect 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

devops architect jobs in melbourne, vic

AI/ML Computational Scientist

Databricks Engineer

Enterprise Gen AI Solutions Architect

AWS Cloud Native Developer

Observability Architect

AWS Mainframe Modernization Architect

Sr Agentic FullStack SDE, AWS Professional Services

GenAI FullStack SDE, AWS Professional Services

Associate Solutions Architect, APJ ECT SA (PACE)

Systems Engineer

Senior MuleSoft Developer

Specialist Solutions Architect - Amazon Connect, Applied AI Solutions

Microsoft Azure Solution Architect

Salesforce Marketing Solution Architect

Software Architect (IFS Cloud)

Senior DevSecOps Engineer (AWS)

Tech Lead - Cloud and Analytics Platform - Capital Markets

Senior Agile Business Analyst

Network Engineer- Automation & AI

ServiceNow ITOM

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