In-Demand Devops Jobs in Lyneham, Act

AI/ML Computational Scientist
Accenture —Canberra ACT
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Senior Consultant
Red Hat, Inc. —Canberra ACT
- Contract
- Hybrid work
- DevOps
- Administrative experience
- Scripting
Senior .NET Full Stack Developer (AU Citizen with security clearance)
Accenture —Canberra ACT
- Full-time
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- Master's degree
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Databricks Application Engineer
Showtime Consulting —Canberra ACT
- DevOps
- SQL
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Principal Java/Bespoke Software Engineer
Aayush Tech Pty Ltd —Canberra ACT
- Up to $130 an hour
- Contract
- Oracle
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- APIs
Quick Apply
Lead Application Developer
Fujitsu —Barton ACT
- Azure
- Management
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Senior Cloud Engineer- Azure
NCS Australia —Canberra ACT
- Full-time
- Hybrid work
- Azure
- AWS
- Communication skills
- Parental leave
Quick Apply
Security Leader, Global Proserve Security
Amazon Web Services Australia Pty Ltd —Canberra ACT
- Full-time
- Management
- AWS
- Bachelor's degree
Lead Engineer - Azure
LAB3 —Canberra ACT
- Full-time
- Azure
- AI
Quick Apply
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Referrals for Google Cloud Practitioners (EoI)
Accenture —Canberra ACT
- Full-time
- DevOps
- AI
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Sr Developer
Accenture —Canberra ACT
- Full-time
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Senior .NET Full Stack Developor (AU Citizen with Security Clearance)
Accenture —Canberra ACT
- Full-time
- Azure
- Master's degree
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AI/ML Computational Scientist

Accenture -
Canberra ACT

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

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devops jobs in lyneham, act

AI/ML Computational Scientist

Senior Consultant

Senior .NET Full Stack Developer (AU Citizen with security clearance)

Databricks Application Engineer

Principal Java/Bespoke Software Engineer

Lead Application Developer

Senior Cloud Engineer- Azure

Security Leader, Global Proserve Security

Lead Engineer - Azure

Referrals for Google Cloud Practitioners (EoI)

Sr Developer

Senior .NET Full Stack Developor (AU Citizen with Security Clearance)

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