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 cutting-edge 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)
Solid knowledge of Python
Familiar with popular deep learning frameworks, such as Tensorflow or Pytorch

📌 Senior Computer Vision Data Engineer Sydney
🏢 SONITEC
📍 Sydney