AI-ML Systems Architect

6 days ago

thane, India beBeeComputational Full time

Job DescriptionYou will provide leadership in designing and implementing cutting-edge computing systems that run demanding deep learning, high-performance computing, and computationally intensive workloads.We are seeking an expert to identify architectural changes and/or completely new approaches for accelerating our deep learning models.As a leading architect, you will help us address 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 modeling, 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 the 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.Assign tasks to the team and monitor progress.Required Skills and QualificationsMS or PhD in Computer Science, Electrical Engineering, or related field.A strong background in deployment of complex deep learning architectures.You must have at least 5 years of relevant experience in one or more 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.You should be proficient in Data structures and Algorithms and have Excellent C/C++ programming skills.Hands-on expertise with PyTorch, TensorRT, CuDNN is required.Hand-on expertise with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) is necessary.In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud is required.You should be proficient in Python programming and bash scripting.Familiarity with Windows, Ubuntu and Centos operating systems is necessary.Excellent communication and collaboration skills are essential.You must be self-motivated and able to find creative practical solutions to problems.Good to HaveHands-on experience with HPC cluster job schedulers such as Kubernetes, SLURM, LSF.Familiarity with cloud computing architectures.Hands-on experience with Software Defined Networking and HPC cluster networking.Working knowledge of cluster configuration management tools such as Ansible, Puppet, Salt.Understanding of fast, distributed storage systems and Linux file systems for HPC workloads.

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