Chief Infrastructure Digitisation Specialist

2 weeks ago

Sydney, New South Wales, Australia Bebeemachinelearning Full time

Job Overview
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We're seeking a skilled professional to drive digitisation of real-world infrastructure using machine learning models.
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Key Responsibilities:
Developing approaches to generate accurate electric networks from imperfect data using deep learning and classical ML algorithms.
Developing and optimising training pipelines to reduce toil and idea-to-evaluation time.
Scaling the serving of models for different problems with different characteristics while reducing time from the first model to production.
Improving the speed of model QA and identifying data and distribution drift in the models.
Working with a variety of data sources, including LiDAR, aerial photography, photogrammetry & GIS, and building scalable data pipelines to support training and serving.
Mentoring other engineers in best practices for model training and software engineering.
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Requirements:
Demonstrated experience with Machine Learning and Deep Learning.
Strong foundation in software engineering.
Proficiency in frameworks like PyTorch/Tensorflow/Jax.
Excellent problem-solving skills as applied to new domains.
Ability to work effectively asynchronously and cross-functionally on ill-defined problems.
Ability to own problems and proactively approach challenges.
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About This Role
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This is an opportunity to make a meaningful impact in the field of infrastructure digitisation.
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What You'll Get
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The chance to work on complex, high-impact projects that drive innovation in infrastructure design and construction.
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A dynamic and supportive work environment that fosters growth and collaboration.
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Opportunities for professional development and mentorship.
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