Australia Archives - AI Jobs Latest

Senior ML Software Engineer, Fortescue

Staff AJL — Wed, 21 May 2025 10:46:50 +0000

Company	Fortescue
Job title	Senior ML Software Engineer
Job location	Perth, Western Australia, Australia
Type	Full Time

Responsibilities:

Design and develop production-grade, end-to-end ML systems — encompassing automated data ingestion, feature extraction, model training, inference, recommendation engine, deployment, and monitoring.
Refactor and harden Python-based ML and optimisation codebases into clean, modular, and easily testable services.
Apply object-oriented principles and design patterns to create clean, reusable ML components.
Collaborate with data scientists to translate research code into production-ready solutions.
Develop test strategies and CI/CD workflows for ML components.
Own the quality and reliability of ML services in production environments.
Work with AI teams to adopt modern MLOps practices, including ML lifecycle management, monitoring, and deployment automation.

Requirements & Skills:

8+ years of professional experience as a software engineer, with a strong track record in building scalable, reliable, and maintainable systems.
A degree in Computer Science, Software Engineering, Data Engineering, or a related field.
Proven experience in working with ML systems or data engineering pipelines.
Strong knowledge of object-oriented programming principles, design patterns, and software architecture.
Expert-level proficiency in Python programming, along with ML frameworks and numerical computing tools (e.g., Pandas, Polars, Scikit-learn, PyTorch, TensorFlow, SciPy), and the ability to optimise models and code for speed and accuracy.
Experienced with data orchestration tools such as Kedro, Airflow, or Dagster for developing data/ML pipelines.
Practical experience in deploying ML models to production, with a strong understanding of core MLOps concepts including version control, CI/CD pipelines for ML, automated testing, monitoring, and end-to-end model lifecycle management.
Proficient with containerisation and orchestration tools like Docker and Kubernetes.
Practical experience with cloud platforms for data and ML (e.g., AWS, Azure, GCP) — AWS/SageMaker/MLflow is a plus.
Background in mining, industrial applications, or resource-focused ML environments is desirable.

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Business Analytics Specialist, Queensland X-Ray

Staff AJL — Wed, 21 May 2025 10:41:22 +0000

Company	Queensland X-Ray
Job title	Business Analytics Specialist
Job location	Brisbane, Australia
Type	Full Time

Responsibilities:

Design, develop, and deploy advanced Power BI reports and dashboards tailored to user and business needs
Develop complex DAX calculations and scalable data models to support reporting requirements
Build and maintain ETL workflows and data pipelines to integrate data from SQL servers and enterprise systems, ensuring clean, reliable data for analysis
Design and develop robust data warehouse solutions to support BI initiatives and strategies
Ensure reports are accurate, user-friendly, and aligned with business objectives
Maintain comprehensive documentation for processes, data models, and BI frameworks
Uphold data security, compliance, and accuracy standards

Requirements & Skills:

Bachelor’s degree in Business Analytics, Data Analytics, or a related field
5+ years of experience in BI development, data engineering with ETL processing
Expertise in creating complex reports, dashboards, and data visualisations using Power BI and SSRS
Strong proficiency in SQL, optimising ELT processes, and developing scalable data pipelines and data warehouse
Experience with the Microsoft BI stack, including SSIS, SSMS, SSRS (Report Builder), and Power BI
Proficiency in SQL, DAX, and Power Query M, with Python experience, is a plus
Strong problem-solving skills with the ability to identify and resolve data challenges effectively
Experience working with UKG Kronos data (both on-premise and cloud) is advantageous

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Embedded Software Engineer, CSIRO

Staff AJL — Tue, 20 May 2025 16:43:03 +0000

Company	CSIRO
Job title	Embedded Software Engineer
Job location	Brisbane, QLD, AU
Type	Full Time

Responsibilities:

Development, validation, and debugging of IoT hardware platforms
Work with and validate hardware functionality based on data sheets, schematics, and Printed Circuit Board designs
Management of logistics to source and deploy IoT technologies
Embedded software development for low-power embedded devicesData collection from high-frequency time-series and image-based sensors
Low-power wireless communication protocols such as Bluetooth Low Energy, LoRa, LTE
Embedded analytics software, including machine learning
Web- and smartphone-based graphical user interface for live sensor data visualisation
Generation of high-quality ground truth data sets for algorithm improvement
Communicate effectively and respectfully with all staff, clients, and suppliers in the interests of good business practice, collaboration and enhancement of CSIRO’s reputation.
Work as part of a multi-disciplinary, often regionally dispersed research team, to carry out tasks under limited direction in support of scientific research.
Adapt and/or develop original experimental methods/equipment/software/concepts/ ideas in support of existing and further research.

Requirements & Skills:

Proficiency in developing applications for low-power embedded devices (e.g., Nordic NRF52), with experience in embedded operating systems such as Zephyr or FreeRTOS.
Experience in developing software for embedded Linux devices (e.g., Raspberry Pi, Beaglebone, or Jetson devices).
Demonstrated expertise in implementing and deploying low-power wireless networks, including BLE, 802.15.4, LoRaWAN, LTE-M, and NB-IoT.
Experience with PCB design software (e.g., Altium Designer or equivalent) for designing and/or reviewing schematics and PCB layouts.
Proven ability to work effectively as part of a multidisciplinary, regionally dispersed research team and to carry out tasks under general direction from Scientific Researchers.
Willingness and ability to contribute novel ideas and approaches to support scientific investigations.
Experience with field-testing IT systems, including user studies, field experiments, analysis of field trial data, and in-situ debugging.
Experience designing user interfaces for interacting with embedded devices (e.g., web or phone apps).
Familiarity with 3D CAD modelling tools (e.g., SolidWorks).

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Artificial Intelligence Researcher, Kepler Analytics

Staff AJL — Tue, 20 May 2025 16:38:14 +0000

Company	Kepler Analytics
Job title	Artificial Intelligence Researcher
Job location	Melbourne, Australia
Type	Full Time

Responsibilities:

Being able to deliver a Machine Learning/Deep learning project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organisation
Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models
Use Spark ML and other machine learning frameworks to help our customers build ML models
Work with Data Engineers to analyse, extract, normalise, and label relevant data
Work with Engineers to help our customers operationalise models after they are built
Assist customers with identifying model drift and retraining models
Research and implement novel ML and DL approaches

Requirements & Skills:

A Bachelor’s or Master’s Degree in a highly quantitative field (Computer Science, Machine Learning, Informatics, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
4+ years of industry experience in predictive modelling, data science, and analysis
Previous experience in an ML or data scientist role and a track record of building ML or DL models
Experience using Python and/or R
Knowledge of SparkML
Able to write production-level code, which is well-written and explainable
Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
Experience working with GPUs to develop models
Experience handling terabyte-sized datasets
Track record of diving into data to discover hidden patterns
Familiarity with using data visualisation tools
Knowledge and experience of writing and tuning SQL
Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
Experience giving data presentations
Extended travel to customer locations may be required to deliver professional services, as needed
Strong written and verbal communication skills
PhD in a highly quantitative field (Computer Science, Machine Learning, Informatics, Operational Research, Statistics, Mathematics, etc.)
2+ years of industry experience in predictive modelling and analysis
Good skills with programming languages, such as Java or C/C++
Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, and ability to accurately determine cause and effect relations
Consulting experience and track record of helping customers with their AI needs
Publications or presentations in recognised Machine Learning, Deep Learning, and Data Mining journals/conferences
Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customers’ organisation
Demonstrable track record of dealing well with ambiguity, prioritising needs, and delivering results in a dynamic environment

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Senior Data Scientist, Future Secure AI

Staff AJL — Mon, 19 May 2025 12:33:37 +0000

Company	Future Secure AI
Job title	Senior Data Scientist
Job location	Sydney, Australia
Type	Full Time

Responsibilities:

Develop and deploy machine learning models that will have a profound impact on our product(s) and end users
Analyze large datasets to identify trends and patterns
Work across a range of use cases to improve the quality of LLM output chains
Plan and implement MLOps, including benchmark monitoring for quality assurance and compliance
Provide strategic input for long-term data initiatives, including data governance and ethical AI practices
Work closely with engineers and stakeholders to implement innovative solutions
Mentor junior data scientists

Requirements & Skills:

Relevant tertiary qualification, Doctorate or Master’s in Data Science, Mathematics, Statistics, Computer Science, or related field, AND 4+ years industry working experience
Strong demonstrated history of data science experience and can concisely share examples of successful past projects
Ideally, you bring commercial experience with NPL techniques (supervised NLP learning with LSTM/CNN/Transformers and/or topic modelling), and;
Commercial experience with GPT (langchain, llama index, RAG, multi-agent framework).
Advanced SQL and 2+ years’ programming experience in Python and Natural Language Processing
Excellent communicator with stakeholders at all levels
Empathetic, collaborative, open to feedback
Able to read and keep abreast of LLM-related research
Able to thrive in an agile environment
A Master’s/Doctorate in a relevant discipline is a plus
Able to attend our beautiful Sydney CBD office 2 days a week

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Data Engineer – Consultant, NRMA

Staff AJL — Mon, 19 May 2025 12:09:09 +0000

Company	NRMA
Job title	Data Engineer – Consultant
Job location	Olympic Park, Sydney, Australia
Type	Contract

Responsibilities:

Implementing Concepts of Data Engineering framework within GCP Cloud using the Data Mesh Architecture framework
Design and implement the Data Warehouse using ETL/ELT frameworks
Build and refine job automation and orchestration for the pipeline to handle exception handling, rerun jobs, fault tolerance, retrospective, logging, alerts, notifications, etc.
Develop processes for handling batch and streaming data
Build a compatible target data state to include a compatible schema design, catalogue, data modelling acceptable for consumption via APIs, Client, and analytics
Provide data usage patterns for analytics, API, and other consumption patterns from the target data store
Build target state data publishing and visualization, and integration
Building or use of an AI/Machine Learning prototype for implementing and supporting existing algorithms
Implement Identity and Access Management (IAM) roles across the data assets. Also, define and execute different delegate roles as needed
Implement IAM and DLP dataset-level-access-controls in the target data store
Build a CICD automation pipeline facilitating automated deployment and automated testing
Deliver end-to-end comprehensive documentation along with code samples
Provide Data Analytical Teams support for ease of use to build further Analytical Data Models, Analysis, or insights, using different tool sets

Requirements & Skills:

Relevant Degree – Computer Science, Computer Engineering, Software Engineering, Data Engineering
Excellent SQL skills – Big Query
Intermediate expertise with Google cloud-based platforms
Demonstrated working knowledge in Python, you will be able to write elegant and well-documented code in Python
Demonstrated understanding of data structures and algorithms
Knowledge and Concept of Data Warehousing Methodologies
Any experience with HR Data would be highly regarded
Any Reporting tools, such as Tableau or Looker/Power BI
Solid communication and interpersonal skills

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