Crisis24-posted 2 months ago
Senior
Annapolis, MD

Crisis24, a GardaWorld company, is widely regarded as the leading integrated risk management, crisis response, consulting, and global protective solutions firm, serving the world's most influential people, disruptive brands, and prominent organizations. Championed by our advanced Global Operation Centers and our skilled team of intelligence analysts, we offer highly specialized services, security and consulting, with the technology and AI to power it all across the globe. At Crisis24, we go beyond mere employment; we pave the way to a realm where your skills become instrumental in shaping global security, guiding clients through a multifaceted and challenging landscape. Your journey with us will be deeply fulfilling, driven by a powerful sense of purpose and accomplishment. Within our thriving environment, you'll discover abundant chances for both personal and career advancement. Seize this moment to push your limits, broaden your expertise, and elevate your professional journey to unprecedented levels. Join the Crisis24 team today and be a part of something extraordinary where growth and impact converge.

  • Design, train, and fine-tune advanced deep learning architectures including CNNs, RNNs, and transformers
  • Lead end-to-end model development—from data preprocessing and experimentation to deployment and optimization
  • Apply distributed training techniques and model compression strategies to improve performance at scale
  • Collaborate with cross-functional teams to integrate models into production systems
  • Stay ahead of the curve by researching and implementing the latest deep learning innovations
  • Mentor junior engineers and contribute to technical leadership across projects
  • Several years of hands-on experience in deep learning, with a proven track record of successful model deployment
  • Deep expertise in PyTorch, TensorFlow, or similar frameworks
  • Strong understanding of neural network theory, optimization techniques, and large-scale data processing
  • Proficiency in Python and C++, with experience in GPU acceleration and inference optimization
  • Familiarity with tools like ONNX, TensorRT, or vLLM for model serving and performance tuning
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