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
Integration Engineer - Cloud iPaaS Full Stack
Accenture —Melbourne VIC
- Full-time
- Azure
- Computer Science
- DevOps
- 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
DWDM Optical Network Engineer
Viasat —Southbank VIC
- Management
- Computer Science
- DevOps
- Health insurance
12d
Data Engineer - Consultant
Intelligen Group —Melbourne VIC
- $120,000 - $150,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
Quick Apply
Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
Observability Architect
Infosys —Melbourne VIC
- $150,742 - $171,215 a year
- Administrative experience
- Scripting
- AI
- Health insurance
- Parental leave
11d
Solutions Architect
Future Secure AI —Melbourne VIC
- Azure
- Computer Science
- DevOps
Quick Apply
Devops Architect - Salesforce
Infosys Singapore & Australia —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Management
- Salesforce
Quick Apply
AWS Cloud Solutions Consultant - AWS Connect - CX
Concentrix —Melbourne VIC
- Full-time
- DevOps
- SQL
- AWS
Google Platform Engineer - GCP
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- APIs
- Communication skills
- Parental leave
Quick Apply
Technical Design Lead
Transurban —Melbourne City Centre VIC
- Full-time
- DevOps
- AWS
- APIs
Full Stack Technical Lead (React & Python/Node.js)
NCS Australia —Melbourne VIC
- Contract
- Hybrid work
- DevOps
- AWS
- APIs
- Parental leave
Quick Apply
12d
Developer Automation Tester
Accenture —Melbourne VIC
- Full-time
- Azure
- Management
- DevOps
- On-the-job training
- Parental leave
Data Architect
Diksha Technologies —Melbourne VIC
- $1,000 - $1,200 a day
- Contract
- Hybrid work
- Azure
- DevOps
- SQL
Quick Apply
4d
AWS Mainframe Modernization Architect
Accenture —Melbourne VIC
- Full-time
- AWS
- AI
- Leadership
Test Automation Engineer - Telecommunications and IT
Socia Pty Ltd —Melbourne VIC
- $90,000 - $130,000 a year
- Full-time
- Hybrid work
- Azure
- Management
- Analysis skills
Quick Apply
8d
Senior Solution Architect
Opasa Pty Ltd —Carlton VIC
- From $110,000 a year
- Full-time
- SQL
- APIs
- In-person
- Work from home
- Referral program
Quick Apply
3d

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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

Integration Engineer - Cloud iPaaS Full Stack

Enterprise Gen AI Solutions Architect

AWS Cloud Native Developer

DWDM Optical Network Engineer

Data Engineer - Consultant

Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services

Observability Architect

Solutions Architect

Devops Architect - Salesforce

AWS Cloud Solutions Consultant - AWS Connect - CX

Google Platform Engineer - GCP

Technical Design Lead

Full Stack Technical Lead (React & Python/Node.js)

Developer Automation Tester

Data Architect

AWS Mainframe Modernization Architect

Test Automation Engineer - Telecommunications and IT

Senior Solution Architect

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