Senior Computer Vision Data Engineer
Summary
Senior engineer on the VisionAI team in Sydney building deep learning computer vision systems. Day to day they own the MLOps pipeline — collecting and curating datasets, generating synthetic data, designing EDAs — and train, fine-tune, benchmark and hyperparameter-optimise models using Python and TensorFlow/PyTorch.
Job Description
About the role
Our Client is seeking a Senior Computer Vision Data Engineer with relevant experience to join the team in Sydney, NSW, Australia.
The position will report to the VisionAI team lead. 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, including exploring data, generating synthetic data, and optimising hyperparameters.
Responsibilities, Duties and Expectations
- Improve and maintain an MLOPS pipeline for computer vision applications
- Develop a data collection process
- Develop tools and solutions to conduct datasets curation
- Design automatic EDAs (Exploratory Data Analysis) for datasets quality review
- Develop data sampling methods
- Develop synthetic dataset generation processes
- Develop benchmarks for models
- Perform HPO (Hyper Parameters Optimisation) on models
- Train and fine-tune deep learning models
- Improve deep learning Computer Vision model architecture
Qualifications, Experience and Skills
- BS degree in Computer Science, similar 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 (APMs)
- Strong knowledge of Python
- Familiar with popular deep learning frameworks, such as Tensorflow or Pytorch