Energy Systems Engineer

2 weeks ago

Melbourne, Victoria, Australia beBeeData Full time $120,000 - $180,000

Be part of our team and help us shape the future of energy systems.

About the Role
  • Design and implement machine learning solutions to support the operations team in making informed decisions.
Key Responsibilities
  • Develop and deploy robust Python code for novel machine learning use cases and match the most appropriate ML approaches to engineering problems, and lead brainstorming sessions with cross-functional teams.
  • Set the bar and guide junior team members to follow best practices for ML.
  • Collaborate with data analysts to create and maintain metadata for Operations data sources in the data catalogue and data virtualization environments.
  • Take ownership of sharable artifacts such as the graph database of the electricity grid assets and initiate knowledge sharing sessions with the Analytics User Group.
Requirements
  • Successful ML projects that are in production.
  • Experience with ML Python libraries such as Jax, Scikit-learn, PyTorch, TensorFlow, Wandb, etc.
  • Data cleansing, normalization, one-hot encoding, and text embedding.
  • Understanding graph data and time-series, and shaping them for ML models.
  • Deploying models, working with data pipelines, and supporting production systems.
  • Wrangling hardware drivers and configs to offload matrix computations to GPU / TPU / NPU.
What We Offer
  • Flexible working options: work from home, part-time, job share, hybrid, and additional leave options.
  • Professional development through projects, industry networks, job rotation, study assistance, and more.
  • Up to 4 days of volunteering leave per year.
  • Annual performance bonuses (subject to eligibility).
  • Wellness program, discounted health insurance, gym perks, and our Employee Assistance Program (EAP).
Join Our Team

We're an equal opportunities employer and welcome people from diverse backgrounds. If you have any accessibility requirements, please let us know.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Utilities

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