Our organization is leading the charge in developing innovative AI solutions that transform real-time perception capabilities for autonomous and non-autonomous systems. As we continue to push the boundaries of what's possible, we're seeking a skilled Deep Learning Engineer to join our Vision Systems division.
Key Responsibilities:
* Research, design, and implement state-of-the-art deep learning architectures using cutting-edge frameworks like PyTorch, TensorFlow, or Caffe
* Deploy and optimize AI models for edge devices to drive impactful results
* Collaborate with deep learning engineers to develop scalable tools and frameworks for large-scale AI operations
To succeed in this role, you'll need recent experience developing deep learning-based solutions for computer vision applications. A strong understanding of convolutional neural networks (CNNs) and transformers for object classification, recognition, and segmentation is essential.
Ideal Qualifications:
* Published research in leading AI/Computer Vision conferences demonstrating your expertise in AI model development
* Proficiency in programming languages like C++ and/or Python for efficient AI model development
* Hands-on experience with MLOps, managing AI pipelines, and scaling deep learning services to drive business growth
* Previous experience in Defence or similar fields is highly desirable but not required