AI Expert

1 week ago


Nagpur, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Artificial Intelligence Architect Job Description

We are seeking an experienced AI Architect to lead the design and implementation of groundbreaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads.

  • You will be responsible for identifying architectural changes and/or completely new approaches for accelerating our deep learning models.
  • The ideal candidate will have expertise in computer architecture, numerical analysis, performance analysis, model compression and optimization, and hands-on experience with PyTorch, TensorRT, CuDNN.
  • Benchmark and optimize Computer Vision Algorithms and Hardware Accelerators for performance and quality KPIs.
  • Collaborate with various teams to drive an end-to-end workflow from data curation and training to performance optimization and deployment.
About the Role

This is a unique opportunity to join our team as a strategic expert and help us shape the future of artificial intelligence in life sciences applications.

We leverage machine and deep learning techniques to develop diagnostic, prognostic, and predictive solutions. Our solutions improve efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology, and ophthalmology workflows across pharmaceutical and healthcare laboratories.

Responsibilities
  • Design and implement cutting-edge GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads.
  • Develop and train complex deep learning architectures using PyTorch, TensorRT, and CuDNN.
  • Benchmark and optimize Computer Vision Algorithms and Hardware Accelerators for performance and quality KPIs.
  • Collaborate with various teams to drive an end-to-end workflow from data curation and training to performance optimization and deployment.
Requirements
  • MS or PhD in Computer Science, Electrical Engineering, or related field.
  • 7+ years of relevant experience in at least a few of the following areas: Machine learning (with focus on Deep Neural Networks), including understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow, or Torch): Numerical analysis, Performance analysis, Model compression and Optimization & Computer architecture.
  • Strong Data structures and Algorithms know-how with Excellent C/C++ programming skills.
  • Hands-on expertise with PyTorch, TensorRT, CuDNN.
  • Hands-on expertise with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP).
Benefits
  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge projects and technologies.
  • Collaborative and dynamic work environment.

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