Deep Learning Architect

3 days ago

Kurnool, Andhra Pradesh, India beBeeComputerVisionEngineer Full time US$ 1,50,000 - US$ 2,50,000
Job Description","

As a Principal Engineer, you will provide technical leadership in designing and implementing cutting-edge GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads.

","
  • You will help us identify architectural changes and/or completely new approaches for accelerating our deep learning models.
  • As an expert, you will assist us with the strategic challenges we encounter, including compute, networking, and storage design for large scale, high-performance workloads, effective resource utilization in a heterogeneous computing environment, evolving our private/public cloud strategy, capacity modelling, and growth planning across our products and services.
  • As an architect, you are responsible for converting business needs associated with AI-ML algorithms into a set of product goals covering workload scenarios, end-user expectations, compute infrastructure, and time of execution; this should lead to a plan for making the algorithms production-ready.
  • Benchmark and optimize Computer Vision Algorithms and the Hardware Accelerators for performance and quality KPIs.
  • Optimize algorithms for optimal performance on the GPU tensor cores.
  • Collaborate with various teams to drive an end-to-end workflow from data curation and training to performance optimization and deployment.
","Required Skills and Qualifications","

We seek an expert with a strong background in deploying complex deep learning architectures. The ideal candidate should have:

","
  • 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.
  • Hand-on expertise with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP).
  • In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud.
  • Proficient in Python programming and bash scripting.
  • Proficient in Windows, Ubuntu, and Centos operating systems.
  • Excellent communication and collaboration skills.
  • Self-motivated and able to find creative practical solutions to problems.
","Benefits","

By joining our team, you will have the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and develop your skills in a dynamic and supportive environment.

","Others","

If you are passionate about deep learning, computer vision, and software development, and if you are looking for a challenging and rewarding career opportunity, please submit your application.

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