
Energy Systems Innovator
2 weeks ago
Australia's energy systems require innovative solutions to ensure safe, reliable, and affordable energy. We offer a unique opportunity for experienced professionals to contribute to the future of our energy landscape.
This position involves working on various projects, from data preparation to machine learning implementation. You will design, build, train, compare, evaluate, deploy, and document using cutting-edge advancements in machine learning.
- Create robust Python code for novel machine learning use cases and apply the most suitable approaches to engineering challenges.
- Develop and maintain metadata for operations data sources in the data catalogue and virtualization environments.
- Promote knowledge sharing sessions with the analytics user group and instigate collaboration among team members.
We are seeking an expert who has managed complex machine learning projects and can navigate dense academic papers. The ideal candidate will be driven by curiosity and a desire to solve problems.
You will thrive in a collaborative environment, where you can share knowledge, mentor others, and admit when you need help. A sense of humour and ability to overcome obstacles will be valuable assets.
- Proven success in implementing machine learning projects in production.
- Experience with popular ML Python libraries, including Jax, Scikit-learn, PyTorch, TensorFlow, and Wandb.
- Proficiency in data cleansing, normalization, one-hot encoding, and text embedding.
- Understanding of graph data and time-series, and shaping them for machine learning models.
- Ability to deploy models, work with data pipelines, and support production systems.
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