In-Demand Field services representative Jobs in Queensland

AI/ML Computational Scientist
Accenture —Brisbane QLD
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Mechanical Lead | Lift Mechanic - East Coast
Haynes Group —Mackay QLD
- Heavy lifting
- Maintenance
- Supervising experience
- Parental leave
- Employee assistance program
5d
Biologics Sales Specialist – Dermatology (Launch Role) | Brisbane, QLD
Galderma —Brisbane QLD
- Hospital experience
- Parental leave
Field Service Technician
Wabtec —Eagle Farm QLD
- Full-time
- Microsoft Office
- Electrical experience
- AI
- Employee assistance program
Quick Apply
Senior Regulatory Affairs Specialist
Enovis —Brisbane QLD
- Full-time
- Engineering
- Office
- Bachelor's degree
Occupational Hygiene / Hazmat Consultant - Brisbane
EDP Consultants Pty Ltd —Fortitude Valley QLD
- Overtime
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Health insurance
- Employee assistance program
Quick Apply
Retail Planogram Merchandiser - Sunnybank Hills - QLD
CROSSMARK Australia —Sunnybank Hills QLD
- $34.34 an hour
- Urgently hiring
- Merchandising
- No experience needed
- Paid training
Quick Apply
3h
Business Development Manager - Residential
Gigacomm —Brisbane QLD
- Full-time
- Hybrid work
- Sales
- Business development
- Communication skills
Quick Apply
7h
Maintenance Planner
RHEINMETALL —Brisbane QLD
- Full-time
- Management
- Maintenance
- Microsoft Office
- Parental leave
- Employee discount
2d

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AI/ML Computational Scientist

Accenture -
Brisbane QLD

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

field services representative jobs in queensland

AI/ML Computational Scientist

Mechanical Lead | Lift Mechanic - East Coast

Biologics Sales Specialist – Dermatology (Launch Role) | Brisbane, QLD

Field Service Technician

Senior Regulatory Affairs Specialist

Occupational Hygiene / Hazmat Consultant - Brisbane

Retail Planogram Merchandiser - Sunnybank Hills - QLD

Business Development Manager - Residential

Maintenance Planner

Other jobs to consider

I want to receive the latest job alert for field services representative in queensland

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