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Closing: 12-Jan-2025
Job Summary
Dates
- Opening Date: 10-Dec-2024
- Closing Date: 12-Jan-2025
Location
- Gatton Campus
Salary
- Base salary will be in the range $111,154.58 - $124,619.84 + 17% Superannuation (HEW Level 8)
Responsibilities
- Provide specialist expertise on research methods and techniques in proximal and remote sensing for high-throughput plant phenotyping.
- Design, maintain, and apply customized sensor networks and specialist equipment for high throughput plant phenotyping.
- Train and supervise researchers and students in using specialized equipment and software for data analysis.
- Design, test, and build hardware solutions for research needs and implement testing procedures.
- Contribute to the development and specification of new research projects.
- Provide technical support for field-based and controlled environment research and data collection.
- Lead research quality assurance and improvement activities and advise on technological developments in proximal sensing.
- Contribute to field work in conjunction with physiology and pre-breeding projects.
- Complete general administration duties associated with APPN, including report preparation and compliance with safety protocols.
Requirements
- Postgraduate qualification in Electrical/mechatronic engineering or equivalent experience/education.
- Experience in data science application in agricultural research.
- Skills in proximal sensing technology for high-throughput plant phenotyping.
- Advanced technical capabilities in Python and other programming languages for large data sets.
- Strong capabilities in CAD software for component design.
- Strong interpersonal and communication skills for liaising with research staff.
- A Remote Pilot’s License (RePL) for multirotor <25kg is desirable.
- Ability to establish effective relationships to promote research at various levels.
- Experience in a research or experimental farm setting.
- Advanced knowledge of precision agriculture technologies and experience with quantitative and qualitative research methodologies.
Benefits
- Free parking and intercampus bus
- On campus childcare, medical clinic, and post office
- 26 weeks paid parental leave or 14 weeks paid primary caregiver leave
- 17% superannuation contributions
- 17.5% annual leave loading
- UQ Study for Staff
- 25% discount on eligible UQ Vets services
- Access to UQ Sports facility
- Volunteer in community garden
Notes
- The successful candidate may be required to complete background checks including Right to work in Australia, criminal history, and education checks.
- Unrestricted work rights in Australia are required for this appointment.
ML/AI Ops Engineer
The University of New South Wales (UNSW Sydney)
Kensington, NSW (Hybrid Flexible Working)
Similar Jobs
Closing: 06-Jan-2025
Job Summary
Dates
- Opening Date: 10-Dec-2024
- Closing Date: 06-Jan-2025
Location
- Kensington, NSW (Hybrid Flexible Working)
Salary
- Level 8 From $123k - $133k + 17% superannuation & leave loading
Responsibilities
- Consult and liaise with project leaders, management team, data scientists, education designers and other stakeholders to understand business needs and lead ML/AI systems planning, delivery and support using the University approved platforms.
- Collaborate with divisions, faculties and schools to understand their data and ML/AI systems needs and provide relevant advice or data solutions that meet their requirements.
- In collaboration with UNSW IT and UNSW Planning & Performance (UPP) operate and configure data infrastructure resources to develop and deploy multiple and complex ML/AI systems in production environments, efficiently using cloud services or on-premises infrastructure based on requirements.
- Develop, implement and maintain automated ETL/ELT pipelines for data acquisition, integration, cleaning, pre-processing, training and testing of complex ML/AI.
Requirements
- Postgraduate degree in Computer Science, Software Engineering or related field with relevant experience in data engineering, cloud engineering, business intelligence development, or an equivalent level of competency gained through any combination of education, training or experience.
- Advanced programming skills and experience in the implementation and management of structured and unstructured big data analysis. Proven experience in SQL, Python and PySpark is highly desirable.
- Advanced cloud computing skills and experience in the development and implementation of ML/AI data resources and pipelines in cloud-based computing environments. Proven experience in Azure Machine Learning, OpenAI Studio and Azure Functions and are highly desirable.
- Demonstrated theoretical understanding and proficiency in the development and implementation of prompt engineering for generative AI solutions. Proven experience in deploying open-source Large Language Models (LLMs) on cloud-based instances and Natural Language Processing (NLP) applications are highly desirable.
- Demonstrated ability to understand and implement ML/AI Ops and MML Ops principles and practices for automating the end-to-end Lifecyle and handling of multi-modal data integration of ML/AI systems. Proven experience in Azure DevOps is highly desirable.
- Demonstrated proficiency in designing, implementing and maintaining automated ETL/ELT, CI/CD and deployment pipelines. Proven experience in Kubernetes for orchestration and Docker for containerisation are highly desirable.
- Demonstrated ability to monitor, log and optimise ML/AI systems for reliability, scalability, debugging, troubleshooting, performance and cost-efficiency. Proven experience in Infrastructure as Code (IaC) tools such as Azure ARM templates for provisioning and managing infrastructure resources is highly desirable.
- Demonstrated ability to define, develop and implement operational explainability and interpretability technics for complex ML/AI systems. Proven experience in Explainable AI, Responsible AI are highly desirable.
Benefits
- Flexible working
- Additional 3 days of leave over the Christmas period
- Access to lifelong learning and career development
- Progressive HR practices
- Discounts and entitlements
Notes
- Applications close: Monday 6th January 2025 at 11.55pm.
- A copy of the Position Description can be found on JOBS@UNSW.
- Applications cannot be accepted if sent directly to the contact listed.
Closing: 03-Feb-2025
Job Summary
Dates
- Opening Date: 10-Dec-2024
- Closing Date: 03-Feb-2025
Location
- Adelaide, South Australia
Salary
- $141,610 to $150,927 per annum plus an employer contribution of up to 17% superannuation applies.
Responsibilities
- Manage a significant and complex suite of projects.
- Lead a small team to deliver machine learning systems for real-world problems.
- Engage in the complete development lifecycle for computer vision and machine learning software solutions.
- Scope and plan projects; take responsibility for delivery of software to end users.
- Develop machine learning systems as a machine learning engineer.
Requirements
- 5+ years’ experience in commercial software development and product management.
- 5+ years’ experience in a commercial programming language (Java, .NET, C++) and a data science programming language (Python, R).
- Strong software design and architecture skills.
- Experience in cloud-based software development, automation, monitoring and orchestration (Kubernetes, Google Cloud, Terraform, Ansible).
- Demonstrable experience developing, testing, and operationalising machine learning products.
Benefits
- Salary packaging.
- Flexible work arrangements.
- High-quality professional development programs and activities.
- On-campus health clinic, gym and other fitness facilities.
Notes
- The successful candidate will be involved in the administration or execution of defence related activities.
- The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.
Closing: 31-Dec-2024
Job Summary
Dates
- 19-Apr-2024: Application Deadline
Responsibilities
- - Deliver quality education to enable students to reach their full potential
- - Work with communities to discover, create, and innovate with sustainability at the core
- - Support teaching of undergraduate and postgraduate units in the Faculty of Science and Engineering
Requirements
- - Completed Bachelor and/or Master’s degree in Engineering or related discipline
- - Discipline-specific knowledge
- - Scholarly teaching appreciation
- - Excellent communication skills
- - Ability to interact effectively with students, staff, and the community
Benefits
- - Flexible work arrangements
- - Emphasis on diversity, equity, and inclusion
Notes
- - Job advertisement open throughout 2024 for future sessional work
- - Late applications accepted if positions are not filled in the first round
- - Position not available for visa sponsorship, applicant must have work rights in Australia
Closing: 31-Dec-2024
Job Summary
Dates
- missing
Responsibilities
- tutoring
- marking
- demonstrating
- teaching
- moderating/facilitating
- student engagement
Requirements
- missing
Benefits
- Modern teaching & research facilities
- Professional development and career pathway opportunities
- EAP & discounted private health
Notes
- Casual Academic
- Casual
- UniSC is an equal opportunity employer, committed to diversity and inclusion
Closing: Not specified
Job Summary
Dates
- Opening Date: Not Available
- Closing Date: Not Available
Location
- Sydney, NSW
Salary
- Not Available
Responsibilities
- Conduct independent research in Computer Science and Engineering.
- Deliver excellent teaching with a focus on pedagogy development.
Requirements
- PhD in Computer Science, Engineering, or a related field.
- Demonstrated experience in teaching and research in Computer Science and Engineering.
- Strong communication and interpersonal skills.
Benefits
- Opportunity to shape the future direction of Computer Science in Australia.
- Access to professional development and research funding.
- Supportive academic environment.
Notes
- Multiple opportunities available.
Closing: 15-Jun-2026
Job Summary
Dates
- Opening Date: 30-Sep-2024
- Closing Date: 15-Jun-2026
Location
- Campbelltown Campus
Salary
- $106,765 to $128,989 p.a. including Super & Leave Loading
Responsibilities
- Conduct research in the field of Biomedical Engineering
- Collaborate with the research team on projects
- Publish research findings in academic journals
Requirements
- Ph.D. in Biomedical Engineering or related field
- Experience in conducting research in biomedical engineering
- Strong publication record in reputable journals
Benefits
- Competitive salary with superannuation and leave loading
- Opportunity to work in a top university
- Fixed-term position with potential for extension
Notes
Closing: Not specified
Job Summary
Dates
- Opening Date: Not Available
- Closing Date: Not Available
Location
- 170 Kessels Rd, Nathan QLD 4111, Australia
Salary
- HEW 8 Salary - Base range -$108,764.25 - $122,356.68 + 17% superannuation. The total FTE package is in the range $127,254.18 - $143,157.32
Responsibilities
- Manage existing systems and develop new pipelines, automations, and platforms to streamline management.
- Experience in DevOps, developing pipelines and automations using tools like Ansible, Terraform, JSON, DevOps, Gitlab and repositories.
- Support a large enterprise Microsoft Windows server environment.
- Use SCCM, SCOM, Active Directory, and Group Policy.
Requirements
- Experience in one or more relevant programming languages e.g. PowerShell, Python or similar.
- Experience in using APIs.
- Experience and/or qualification in Microsoft Azure.
- Proactive, self-starter with the ability to work independently and collaboratively.
- Good interpersonal skills with the ability to interact with a variety of internal and external stakeholders.
- Experience working in an agile environment well regarded.
Benefits
- Wide range of Learning and Development opportunities
- Mix of on campus and work from home options available and a supportive work environment
- Salary packaging options and corporate health discounts
- Generous leave entitlements including paid parental leave and leave loading
- Support with future learning opportunities through our educational staff assistance scheme
- Opportunities for internal mobility
- Health Safety and Wellbeing initiatives – on campus Gym facilities
Notes
- This is a continuing position and will be primarily based at the Griffith University Nathan campus.
- Griffith is a multi-campus University, you may be required to work across other campus locations.
- Applicants must have unrestricted working rights. Sponsorship is not available for this position. Successful candidates may be subject to a criminal history check.