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2 weeks ago
About the role:
We are seeking a highly experienced Senior Computer Vision Data Engineer to join our team in Sydney, Australia.
The position will report to the team lead. As a senior data engineer, you will be responsible for developing innovative Deep Learning based Computer Vision systems, including building and maintaining the MLOps pipeline from collecting and curating datasets to training and benchmarking deep learning models.
Key Responsibilities:- Improve and maintain an MLOPS pipeline for computer vision applications.
- Develop a data collection process.
- Design automatic EDAs (Exploratory Data Analysis) for datasets quality review.
- Develop tools and solutions to conduct datasets curation.
- Develop synthetic dataset generation processes.
- Develop benchmarks for models.
- Perform HPO (Hyper Parameters Optimisation) on models.
- Train and fine-tune deep learning models.
- Bachelor's degree in Computer Science or a related technical field of study, or equivalent practical experience.
- Minimum 3 years' experience working with Datasets management and MLOPS, Machine Learning, Deep Learning.
- Experience with MLOPS tools, pipelines, and monitoring frameworks.
- Strong knowledge of Python programming.
- Familiar with popular deep learning frameworks such as Tensorflow or Pytorch.
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