Lead Engineer - Thane - AIRA Matrix

    AIRA Matrix
    AIRA Matrix Thane

    1 day ago

    Description

    Responsibilities:-

    ● We seek an expert to identify architectural changes and/or completely new approaches for

    accelerating our deep learning models.

    ● 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 for performance and quality KPIs

    on the heterogeneous hardware stacks (GPU + CPU, etc.)

    ● Collaborate with various teams to drive an end to end workflow from data curation and

    training to performance optimization and deployment.

    Skills Required:-

    ● Bachelors or Higher in Computer Science, Electrical Engineering, or related field. A strong

    background in deployment of complex deep learning architectures.

    ● 1+ years of relevant experience in at least a few of the following relevant areas is required in

    your work history: Machine learning (with focus on Deep Neural Networks), including

    understanding of DL fundamentals; Experience adapting and inferencing DNNs for various

    tasks; Experience developing code for one or more of the DNN training frameworks (such as

    Torch, Caffe or TensorFlow): Numerical analysis, Performance analysis, Model compression

    and Optimization & Computer architecture.

    ● Strong data structures and algorithms knowhow with excellent modern C++ programming skills.

    ● Good grasp over software engineering and tools like CMake, Make (or Ninja), Clang-Tools, etc.

    ● Hands-on expertise with TensorRT, CuDNN, PyTorch

    ● Hand-on expertise with GPU computing (CUDA, OpenCL or OpenACC) and HPC (MPI, OpenMP)

    ● 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.

    Good to have:-

    ● Hands-on experience with PTX-ISA for CUDA or vector intrinsics like AVX, SSE, etc.

    ● In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud.

    ● Hands-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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