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Machine Learning Engineer (as Per Advertisement), Melbourne, State Government Of Victoria, Australia

Published 2023-01-24
Expires 2023-02-24
ID #1360605777
125 AU$
Machine Learning Engineer (as Per Advertisement), Melbourne, State Government Of Victoria, Australia
Australia, Victoria, Melbourne,
Published January 24, 2023

Job details:

Job type: Full time
Contract type: Permanent
Salary type: Monthly
Occupation: Machine learning engineer (as per advertisement)
Min. Salary: 100000000


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Description


Machine Learning Engineer (As per advertisement)

We are in the process of kicking-off a program of work as part of VMIA's 2024 strategy to enhance a new data and analytics technology platform (Microsoft Azure Cloud).As a result, we have a fantastic opportunity for an experienced Machine Learning Engineer to be part of a state-wide eco-system to identify key risks to the state and find ways to proactively identify and prevent/reduce harm caused to all Victorians.

Machine Learning Engineer Permanent Ongoing Position Insurance Services Divison

About VMIA

Victorian Managed Insurance Authority (VMIA) is the Victorian Government's insurer and risk adviser, covering the people and projects that help Victorians thrive. We're an agency in the Department of Treasury and Finance portfolio established under the Victorian Managed Insurance Authority Act, and report to the Assistant Treasurer.

We provide insurance and risk advice to government departments and agencies, with more than 4,600 clients ranging from small community service organisations to public hospitals, schools, and core service providers. We also provide domestic building insurance to builders, giving Victorian homeowners peace of mind for building projects valued over $16,000.

We help our clients prepare for, prevent, or reduce the impact of harm. When things don't go to plan, we help clients restore services and recover quickly.

Our unique perspective across Victorian Government clients provides an opportunity for learning and development across the risk and insurance industry as well as the broader public sector, creating deeper connections with our clients, and a shared understanding of best practice in our fields of expertise.

People are at the heart of everything we do. At VMIA, you'll be encouraged to achieve your career goals in a progressive and flexible workplace that, most importantly lets you be yourself.

Your role

It's an exciting time for VMIA, we are transforming our insights, data, and research capability as an essential part of achieving VMIA's 2024 strategic objectives. We aim to become a world-class risk management and insurance organisation and are looking for talented professionals like you to join us on this journey!

As part of this, we are in the process of kicking-off a program of work to enhance a new data and analytics technology platform (Microsoft Azure Cloud).

As a result, we have a fantastic opportunity for an experienced Machine Learning Engineer to be part of a state-wide eco-system to identify key risks to the state and find ways to proactively identify and prevent/reduce harm caused to all Victorians.

In this role you will build and develop our machine learning technologies and infrastructure, working in Python to establish our data pipelines to improve reliability and efficiency throughout the organisation.

We are looking for a seasoned engineer with a strong drive for learning, always striving to stay up to date with evolving technologies – these attributes will set you up for success within this role.

This is a unique opportunity to utilise leading edge technology and enjoy great benefits such as hybrid working arrangements, competitive salary and investment into your learning and development.

Your role reports to the Data Platform Manager in the Insurance Services Division.

How You'll make an impact
Build the framework for Machine Learning and Python function workflows.
Model evaluation and version control for Python modelling experiments.
Expand, optimise, and support our data pipeline architecture and recommend ways to improve data reliability, efficiency, and quality in our data pipelines by applying DataOps principles.
Design, develop, test, deploy and maintain highly scalable robust data management solutions hosted in-cloud environments.
Apply best practice solution development and implementation methods including Continuous Integration/Deployment, development and testing standards and DevOps patterns.
Build and maintain the CI/CD pipeline that deploys the machine learning and Python infrastructure.
Support the day-to-day operation of data platform including responding to service requests, debugging and remediating data pipeline issues, conducting root-cause analysis and incident reviews.
Participate in agile rituals including daily stand-ups, planning, backlog management, demos, and retrospectives.
Who you work with
Key stakeholders within Insights & Analytics, specifically the Data Platform team, to enhance the core Python data infrastructure and architecture, and the Data Science team, to productionise analytical models and functions (mainly in Python).
Technology team to ensure the resources and services utilised by the data platform are properly governed and compliant with VMIA standards.
About you
3-5 years' Python coding experience in a data or software development setting.
1-3 years' AI & Machine Learning coding experience using Python in a data or software development setting.
Solid experience in utilising SQL (PostgreSQL, SnowSQL) to extract, transform and load (ETL) data into data warehouse.
Experience in monitoring, automating and uplifting data warehouse outcomes using DevOps methodologies and toolsets, including GIT.
Experience working with Windows and Linux operating systems, including in Docker.
Excellent analytical skills and proven track record solving difficult problems.
Experience in Agile tools such as the Atlassian Suite (Jira, Confluence and Bitbucket).
Continuous Integration/Delivery tools such as Azure Devops, Bitbucket, Bitbucket Pipelines.
Strong analytical and problem-solving skills with a flair for creating innovative solutions.
You are keen to work in a highly collaborative and agile environment.
A qualification in computer science, analytics, or related field
We reward innovation, best practice thinking and collaboration. We're industry leaders in diversity and inclusion, are passionate about gender equality, and encourage and enable our people to bring their whole selves to work.
We were leaders in working flexibly even before COVID-19. Now, we operate in a hybrid environment, with a suite of events and activities to connect us even when we're apart. We'll continue to work from where it makes sense to, with flexible arrangements that deliver for our clients and work for our people.
We are a learning organisation, and you can expect to grow, develop, and evolve your professional career whilst at VMIA
We offer programs, subsidies and leave options to support the wellbeing of our people and invest in their development and growth.
How to apply

If we've sparked your interest, apply now by submitting your CV and cover letter to introduce yourself, address your suitability for this role and why a role at VMIA appeals to you

To note: Applications without a cover letter will not be considered.

Should you be successful for the first round of screening and shortlist, you'll be contacted by a member of the Talent Acquisition team who'll guide you through the next steps and our recruitment process.

If you have an enquiry or want to find out more about the role, refer to the job description, alternatively, contact Faith Yego, Talent Acquisition Adviser at [email protected]

We encourage people from all gender identities, Aboriginal and Torres Strait Islander cultures, with disabilities, and from culturally diverse backgrounds to apply.

Please let us know of any accessibility needs to consider during the recruitment process.

Other relevant information

Preferred candidates will be required to undertake pre-employment screening including a national police check, probity, and misconduct screening.

Additional Information

VMIA is supportive of hybrid working arrangements.

Applications close 5pm Friday, 3 rd February 2023.

4 jobs are currently listed for Victorian Managed Insurance Authority

Job type:

Full time

Job classification:
Contact:

Faith Yego | [email protected]

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    Finance is a field that deals with the study of investments. It includes the dynamics of assets and liabilities over time under conditions of different degrees of uncertainty and risk. Finance can also be defined as the science of money management. Finance aims to price assets based on their risk level and their expected rate of return. Finance can be broken into three different sub-categories: public finance, corporate finance and personal finance.


    Melbourne ( (listen) MEL-bərn) (Boonwurrung: Naarm) is the capital and most-populous city of the Australian state of Victoria, and the second-most populous city in both Australia and Oceania. Its name generally refers to a 9,993 km2 (3,858 sq mi) metropolitan area known as Greater Melbourne, comprising an urban agglomeration of 31 local municipalities, although the name is also used specifically for the local municipality of City of Melbourne based around its central business area. The city occupies much of the northern and eastern coastlines of Port Phillip Bay and spreads into the Mornington Peninsula and the hinterlands towards the Yarra Valley and the Dandenong and Macedon Ranges. It has a population over 5 million (19% of the population of Australia, as per 2020), mostly residing to the east side of the city centre, and its inhabitants are commonly referred to as "Melburnians".The area now occupied by Melbourne was home to Aboriginal peoples for over 40,000 years and served as a popular meeting place for local Kulin nation clans, Naarm being the traditional Boon wurrung name for Port Phillip Bay. A short-lived penal settlement was built at Port Phillip, then part of the British colony of New South Wales, in 1803, but it was not until 1835, with the arrival of free settlers from Van Diemen’s Land (modern-day Tasmania), that Melbourne was founded. It was incorporated as a Crown settlement in 1837, and named after the then British Prime Minister, William Lamb, 2nd Viscount Melbourne. In 1851, four years after Queen Victoria declared it a city, Melbourne became the capital of the new colony of Victoria. During the 1850s Victorian gold rush, the city entered a lengthy boom period that, by the late 1880s, had transformed it into one of the world's largest and wealthiest metropolises. After the federation of Australia in 1901, it served as the interim seat of government of the new nation until Canberra became the permanent capital in 1927. Today, it is a leading financial centre in the Asia-Pacific region and ranks 23rd globally in the 2021 Global Financial Centres Index.Melbourne is home to many of Australia's best-known landmarks, such as the Melbourne Cricket Ground, the National Gallery of Victoria and the World Heritage-listed Royal Exhibition Building. Noted for its cultural heritage, the city gave rise to Australian rules football, Australian impressionism and Australian cinema, and has more recently been recognised as a UNESCO City of Literature and a global centre for street art, live music and theatre. It hosts major annual international events, such as the Australian Grand Prix and the Australian Open, and also hosted the 1956 Summer Olympics and the 2006 Commonwealth Games. Melbourne consistently ranked as the world's most liveable city for much of the 2010s.Melbourne Airport, also known as the Tullamarine Airport, is the second-busiest airport in Australia, and the Port of Melbourne is the nation's busiest seaport. Its main metropolitan rail terminus is Flinders Street station and its main regional rail and road coach terminus is Southern Cross station. It also has Australia's most extensive freeway network and the largest urban tram network in the world.

    Source: https://en.wikipedia.org/