
Expertise in Advanced Data Analytics
1 week ago
Our team spearheads the development of innovative analytics solutions that revolutionize real-time data management for engineering applications. We collaborate closely with electrical engineers and analysts to ensure seamless integration of renewable energy sources into the grid.
- Key Responsibilities:
- Develop robust code using Python libraries like Jax, Scikit-learn, PyTorch, TensorFlow, Wandb for machine learning applications and lead brainstorming sessions.
- Mentor junior team members and promote best practices in ML.
- Manage metadata for operational data sources in data catalogues and virtualisation environments.
- Own artifacts like the graph database of grid assets and facilitate knowledge sharing.
- Assist the Technical Lead in ITIL Service Management processes like Change Management.
We seek candidates experienced in ML projects, comfortable with complex maths, eager to solve problems, collaborate, mentor, and admit when they don't know something. A sense of humor and resilience in facing hurdles are a plus. You should be eager to take initiatives from inception to deployment.
Requirements:
- Successful ML projects in production.
- Familiarity with ML Python libraries.
- Data cleansing, normalization, encoding, and text embedding.
- Understanding graph data and time-series for ML models.
- Model deployment, data pipelines, and supporting production systems.
- Hardware configuration for offloading computations to GPU/TPU/NPU.
Contact Us:
We value diversity and inclusivity, welcoming applicants of all backgrounds. For accessibility needs during application or interview, please contact us at talent@aemo.com.au.
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