Overview
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Advanced Data Modelling Role
">Data scientists and engineers are needed to design, build, train, compare, evaluate, deploy and document machine learning solutions using state-of-the-art advancements of the past decade. Some initiatives involve other software developers and product team members; some may be solo and autonomous. You will always work directly with end users and SMEs, who are typically electrical engineers and analysts.
Our team builds engineering applications and real-time analytics tools that help the control rooms make sense of streaming data by combining and visualising multiple sources.
The role involves working on projects and BAU initiatives, from data preparation to full-scale machine learning solutions.
Some key responsibilities include:
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Write robust Python code for novel machine learning use cases and select the most appropriate ML approaches for engineering problems;
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Lead brainstorming sessions to drive collaboration and innovation within the team;
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Set the bar and guide junior team members to follow ML best practices;
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Create and maintain metadata for Operations data sources in the data catalog and data virtualization environments;
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Take ownership of shareable artifacts such as a graph database of electricity grid assets and initiate knowledge-sharing sessions with the Analytics User Group;
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Requirements
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Experience with ML Python libraries such as JAX, Scikit-learn, PyTorch, TensorFlow, Weights & Biases, etc.
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Data cleansing, normalization, one-hot encoding, and text embedding.
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Understanding graph data and time-series, and preparing them for ML models.
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Deploying models, working with data pipelines, and supporting production systems.
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Wrangling hardware drivers and configurations to offload matrix computations to GPU/TPU/NPU.
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Benefits
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Flexible working options including work from home, part-time, job share, hybrid options, and additional leave options.
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Professional development via projects, industry networks, job rotation, study assistance and more.
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Up to 4 days of volunteering leave per year.
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Annual performance bonuses (subject to eligibility).
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Wellness program, discounted health insurance, gym perks and an Employee Assistance Program (EAP).
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Diversity and Inclusion
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We welcome people of all backgrounds, including people with disabilities and neurodivergence, and those who identify as Aboriginal and/or Torres Strait Islander.
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For accessibility requirements please email us at AEMO Contact page
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Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries Utilities