Senior Deep Learning Specialist

2 days ago

Nashik, Maharashtra, India beBeeArchitect Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Senior Deep Learning Architect

We are seeking a highly skilled and experienced Senior Deep Learning Architect to join our team.

About the Role:
  • You will lead the design and implementation of cutting-edge GPU computers that can handle demanding deep learning, high-performance computing, and computationally intensive workloads.
  • Your expertise in identifying architectural changes and new approaches for accelerating deep learning models will be invaluable to us.
  • As a seasoned expert, you will help us tackle strategic challenges related to compute, networking, and storage design for large-scale, high-performance workloads, effective resource utilization in heterogeneous computing environments, evolving private/public cloud strategies, capacity modeling, and growth planning across our products and services.
  • Your role as an architect involves converting business needs associated with AI-ML algorithms into product goals covering workload scenarios, end-user expectations, compute infrastructure, and time of execution; this should result in a plan for making the algorithms production-ready.
  • Benchmark and optimize Computer Vision Algorithms and Hardware Accelerators for performance and quality KPIs.
  • Optimize algorithms for optimal performance on GPU tensor cores.
  • Collaborate with various teams to drive an end-to-end workflow from data curation and training to performance optimization and deployment.
  • Assign tasks to the team and monitor progress.
About You:
  • Masters or PhD in Computer Science, Electrical Engineering, or a related field with a strong background in deploying complex deep learning architectures.
  • 7+ years of relevant experience in at least a few of the following areas: Machine learning (with a 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).
  • 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.
What We Offer:
  • A dynamic and innovative work environment.
  • The opportunity to work on cutting-edge projects.
  • A competitive salary and benefits package.
About Us:

We provide artificial intelligence-based solutions for Life Sciences applications. Our solutions improve efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology, and ophthalmology workflows across pharmaceutical and healthcare laboratories.

We leverage machine and deep learning techniques to develop diagnostic, prognostic, and predictive solutions. Our solutions provide cost benefits in the pharmaceutical domain by speeding up pre-clinical drug development timelines and enhancing the efficiency of environmental monitoring required in manufacturing. In healthcare applications, our solutions improve treatment outcomes by aiding disease stratification and enabling management protocols tailored to individual patients.

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