AI/ML Engineer
Eveleigh, Australia
presien
Presien’s AI vision solutions are designed for heavy industries. We turn inputs into intelligence so your business can see the path to progress.Company Description
Presien is an AI vision company solving real heavy industry challenges, from quality assurance and control to security and safety. Presien improves how heavy industry goes to work.
Job Description
Depending on your skills, experience and interests, you could be working on any of the following:
- Maintain and improve our datasets, including through the continuous development of our active learning pipeline
- Refine and debug our MLOps pipelines and repositories
- Work on detection model and pipeline issues reported in the field and implement solutions
- Maintain and develop code for dataset generation and maintenance, model training, and evaluation and testing
- Maintain and develop code for our detection pipeline
- Develop novel AI/ML and computer vision solutions for new features and products
Qualifications
Must haves
- Extensive hands on machine learning and deep learning experience
- Good knowledge of deep learning, neural networks, machine learning, and related mathematical fields
- Experience with one or more common machine learning frameworks used for deep learning (e.g PyTorch, Tensorflow, etc…)
- Computer vision and image processing experience with application in ML (e.g. working with OpenCV, training image classification/object detection models, etc…)
- Very comfortable working on Linux systems, especially on the command line
- Experience with shell scripting
- Solid Python knowledge, including the standard library, numpy and other ML related packages
- Very comfortable with Git
- Minimum bachelor level degree in a relevant field
- Demonstrable experience of the above skills and knowledge (2 years minimum); e.g. working in industry, academia, master’s degree by research, or PhD.
- Self-motivated with an autonomous work ethic
Preferred
- Experience with working in a ML production environment (MLOps)
- R&D and/or research experience
- Experience using docker
- Experience using GPU accelerated cloud instances for training
- Experience preparing machine learning pipelines for lower power embedded systems (e.g. Nvidia Jetson)
- Some software development experience
Nice to have
- Experience with the following specific tools: Pytorch, TensorRT, DVC
- C/C++ experience
- AWS experience, specifically EC2
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Classification Computer Vision Deep Learning Docker EC2 Git GPU Linux Machine Learning MLOps Model training NumPy Nvidia Jetson OpenCV PhD Pipelines Python PyTorch R R&D Research Security Shell scripting TensorFlow TensorRT Testing
Perks/benefits: Career development
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