In-Demand Deployed engineer Jobs in Parramatta, Nsw

AI/ML Computational Scientist
Accenture —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Forward Deployed Engineer Principal
Insight Enterprises —Sydney NSW
- Azure
- Master's degree
- SQL
- Employee stock purchase plan
Forward Deployed Engineer and FDE Lead - Anthropic
Deloitte —Sydney NSW
- Azure
- AWS
- APIs
- Parental leave
Senior Forward Deployed AI Engineer
NTT DATA —Sydney NSW
- Full-time
- Azure
- DevOps
- Master's degree
Legal Engineer, Sydney
Harvey —Sydney NSW
- Full-time
- Hybrid work
- Business development
- AI
- Annual leave
- Parental leave
AI Technical Lead
Accenture —Sydney NSW
- Full-time
- Azure
- Master's degree
- AWS
- On-the-job training
- Parental leave
Forward Deployed Software Engineer - AUS Government
Palantir Technologies —Sydney NSW
- Full-time
Senior Full Stack Engineer - Enterprise Platform
NinjaTech AI —Sydney NSW
- Full-time
Technical Support Engineer
Verkada —Sydney NSW
- Customer service
- Writing skills
- Engineering
- Commuter assistance
- Health insurance
2d
Sr. Software Engineer, Industrial Energy Site Controller, APAC
Tesla —Alexandria NSW
- Full-time
- Master's degree
- Bachelor's degree
- Employee stock purchase plan
- Health insurance
Interested in Working with Everseen?
Everseen —Sydney NSW
- Full-time
- Hybrid work
Lead AI Solutions Delivery Engineer
DocuSign —Sydney NSW
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
3d
Building Service Engineer
JLL —Sydney NSW
- Engineering
- Leadership
- Health insurance
- Parental leave
L4 Senior Network Engineer
FinXL —Sydney NSW
- Contract
- Communication skills
Director AI Engineering
MinterEllison —Sydney NSW
- AI
Software Engineer
Anduril Industries —Sydney NSW
- Full-time
- Computer Science
- Software troubleshooting
- Bachelor's degree
Quick Apply
Technical Services Engineer
Zoll Medical Corporation —St Leonards NSW
- On call
- Management
- Engineering
- Microsoft Office
Algorithm Engineer, Market Growth
Binance —Sydney NSW
- Full-time
- Remote
- Computer Science
- Master's degree
- SQL
Quick Apply
Senior Machine Learning Engineer
Greenroom Robotics —Sydney NSW
- Agile
- Communication skills
Staff Machine Learning Engineer (Platform)
Neara —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Writing skills
- AWS

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AI/ML Computational Scientist

Accenture -
Sydney NSW

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

deployed engineer jobs in parramatta, nsw

AI/ML Computational Scientist

Forward Deployed Engineer Principal

Forward Deployed Engineer and FDE Lead - Anthropic

Senior Forward Deployed AI Engineer

Legal Engineer, Sydney

AI Technical Lead

Forward Deployed Software Engineer - AUS Government

Senior Full Stack Engineer - Enterprise Platform

Technical Support Engineer

Sr. Software Engineer, Industrial Energy Site Controller, APAC

Interested in Working with Everseen?

Lead AI Solutions Delivery Engineer

Building Service Engineer

L4 Senior Network Engineer

Director AI Engineering

Software Engineer

Technical Services Engineer

Algorithm Engineer, Market Growth

Senior Machine Learning Engineer

Staff Machine Learning Engineer (Platform)

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