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
