About the Opportunity:
Reporting into the Customer Data Office, the MLOps Engineer will be the technical go-to for everything across this functionality.
You will support the overall team to develop a world-class AI/ML tech stack and Machine Learning Ops capability to ensure we can deliver high-quality research solutions optimally.
Responsibilities include:
Join a continual uplift squad, partnering with other Data SMEs to deliver excellent solutions.
Lead large-scale experiments in the cloud, working closely with our skilled platform team to craft efficient tooling solutions.
Drive the adoption of best practices in MLOps, including version control, testing, continuous integration, DevOps, Data Pipeline, and deployment.
Work closely with cross-functional teams to identify and resolve operational challenges related to data pipelines, infrastructure, and performance tuning.
Develop and optimize workflows for model training, feature engineering, data ingestion, and preprocessing to enable efficient and reproducible machine learning processes.
Design, implement, and maintain the end-to-end machine learning operational pipeline, including model development, deployment, monitoring, and maintenance.
About You:
You will have designed and executed the build software related frameworks that assist the execution of the data science methodology framework, along with having played a strategic role in driving the adoption of MLOps best practices.
Additionally:
Tertiary qualification in a highly quantitative field (Mathematics, Statistics, Computer Science, Machine Learning) or equivalent experience.
Excellent programming fundamentals; strong Python essential, but additional language experience highly desirable – SQL, R, Spark, etc.
Strong DevOps experience working with DataBricks, MLflow, Azure DevOps, Terraform.
You have created data APIs with Flask, FastAPI, Django, or similar.
Experience with code management and CI/CD platforms such as Azure DevOps and Terraform.
Experience working in Agile teams (desirable, not mandatory).
Experience working with Cloud Environments such as AWS (desirable, not mandatory).
How to Apply:
If you're ready to 'light the way' towards your next career move, click the 'Apply' button to submit a confidential application.
For any questions, please reach out to Jock Clydesdale, Talent Acquisition Partner @ ******.
Why Us:
At EnergyAustralia, we are committed to providing an inclusive culture so our employees can bring their whole selves to work and have a sense of belonging.
As an employee, you can enjoy such benefits as:
Employee discount on your electricity and gas, discounts on major brands and products.
Annual Performance Bonus.
20 weeks' paid parental leave that's completely gender-equal.
Energise Program - flexible working that is team-centric enabling all individuals to agree and succeed together.
Excellent company culture, down-to-earth and friendly organisation - be authentic, bring your whole self to work!
2 paid recharge days.
State-of-the-art Melbourne office, stunning views only 3-4 minute walk from Southern Cross station.
In-house Café and Onsite Tech Bar.
We're committed to providing an inclusive culture so our employees can bring their whole selves to work and have a sense of belonging.
From our PRISM network that creates a positive culture for LGBTQ+ employees to our Reconciliation Action Plan that has commitments to strengthen relationships with Aboriginal and Torres Strait Islander people and organisations, it's a workplace where everyone's welcome.
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