In-Demand Ai devops engineer Jobs in Melbourne, Vic

AI/ML Computational Scientist
Accenture —Melbourne VIC
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
10d
Cloud Engineer
St Vincent's Health Australia —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- AI
- Employee assistance program
Tech Lead - Cloud and Analytics Platform - Capital Markets
The Argyle Network —Melbourne VIC
- $180,000 a year
- Full-time
- DevOps
- AWS
- AI
Full Stack Technical Lead (React & Python/Node.js)
NCS Australia —Melbourne VIC
- Contract
- Hybrid work
- DevOps
- AWS
- APIs
- Parental leave
Quick Apply
2d
Systems Engineer
NCS Australia —Preston VIC
- Contract
- Hybrid work
- Azure
- Parental leave
Quick Apply
5d
Quality Engineer ( Playwright)
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- AI
6d
Azure Cloud Engineer
Capgemini —Melbourne VIC
- Hybrid work
- Azure
- DevOps
- Agile
Software Engineer
Alitsy Pty Ltd —Southbank VIC
- $70,000 - $80,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
Quick Apply
Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)
Capgemini —Melbourne VIC
- DevOps
- Administrative experience
- SQL
Senior Prototyping Engineer, Prototyping and AI Customer Engineering
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Systems design
- AI
- Communication skills
Data Engineer
NTT DATA —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
6d
DWDM Optical Network Engineer
Viasat —Southbank VIC
- Management
- Computer Science
- DevOps
- Health insurance
3d
Lead Site Reliability Engineer
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- Databases
- AWS
- Work from home
- Parental leave
11d
Principal Data Engineer - Contract
The Business Agility Group —Tullamarine VIC
- Urgently hiring
- Hybrid work
- Azure
- Master's degree
- SQL
Tech Architecture Sr Manager / Manager / Associate Manager / Specialist/ Sr. Analyst
Accenture —Melbourne VIC
- Full-time
- CRM software
- DevOps
- AWS
Solutions Architect
Future Secure AI —Melbourne VIC
- Azure
- Computer Science
- DevOps
Quick Apply
Technical Design Lead
Transurban —Melbourne City Centre VIC
- Full-time
- DevOps
- AWS
- APIs
Senior Full Stack Developer
LAB3 —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Master's degree
Quick Apply
Data Engineering Lead
HUB24 —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
Founding Platform Engineer (DevOps / Infrastructure)
ZBOS Technologies —Melbourne VIC
- Part-time
- Hybrid work
- DevOps
- AWS
- APIs
Quick Apply

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AI/ML Computational Scientist

Accenture -
Melbourne VIC

Apply Now

Job Details

Full-time
10 days ago

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

ai devops engineer jobs in melbourne, vic

AI/ML Computational Scientist

Cloud Engineer

Tech Lead - Cloud and Analytics Platform - Capital Markets

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

Systems Engineer

Quality Engineer ( Playwright)

Azure Cloud Engineer

Software Engineer

Senior Data Engineer - AWS(Kinesis/Lambda/MSK/Flink)

Senior Prototyping Engineer, Prototyping and AI Customer Engineering

Data Engineer

DWDM Optical Network Engineer

Lead Site Reliability Engineer

Principal Data Engineer - Contract

Tech Architecture Sr Manager / Manager / Associate Manager / Specialist/ Sr. Analyst

Solutions Architect

Technical Design Lead

Senior Full Stack Developer

Data Engineering Lead

Founding Platform Engineer (DevOps / Infrastructure)

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