Designing and operating cloud - based MLOps capabilities supporting analytical and generative AI models. Collaborating with data science and business teams for high - impact AI solutions.
About the role
- Senior Deep Learning Engineer at Shield AI developing perception capabilities for defense applications. Focus on AI-driven real-time solutions in a collaborative engineering team.
Responsibilities
- Drive R&D projects and contribute to our AI and autonomy strategy.
- Research, design, and implement state-of-the-art perception capabilities, taking ideas from concept to field deployment.
- Deploy and optimise our AI stack for edge devices.
- Collaborate with deep learning engineers to develop scalable tools and frameworks for large-scale AI operations.
- Stay up to date with cutting-edge AI and deep learning research, contributing to ongoing R&D initiatives.
- Join Vision Systems, a key division of Shield AI at the forefront of perception technology innovation.
Requirements
- Recent experience developing deep learning-based solutions for computer vision applications.
- Strong understanding of convolutional neural networks (CNNs) and transformers for object classification, recognition, and segmentation.
- Experience implementing novel deep learning architectures using frameworks such as PyTorch, TensorFlow, or Caffe.
- Bachelor's, Master’s, or PhD in Computer Science, AI, or related field.
Benefits
- Flexible and supportive work environment — our office is in Port Melbourne, close to Melbourne CBD.
- Salary + equity for permanent roles, with flexible working options available.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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