AI - Computer vision - 31151

2 months ago


sany, India Zigsaw Full time
JobDescription
  • Strongdevelopment skills required in Python andC.
  • Ability to architect a solution based ongiven requirements and convert the business requirements into atechnical computer vision problemstatement.
  • Ability to work in a fastpacedenvironment and coordinate across different parts of differentprojects.
  • Bringing in the technical expertisearound the implementation of best coding standards and practicesacross the team.
  • Work on Various SOTA ComputerVision Models Dataset Augmentation & Dataset GenerationTechniques that help improve model accuracy &precision.
  • Work on development &improvement of End to End Pipeline use cases running atscale.
  • Proficient with Training of DetectionClassification & Segmentation Models with TensorflowPyTorch MXNet etc
  • Programming skills withmultithreaded GPU CUDA computing and APISolutions.
  • Extensive experience of working onedge devices like Jetson Nano Raspberry Pi and other GPU poweredlow computational devices.
  • Experience withusing Docker Nvidia Docker Nvidia NGC containers for ComputerVisionDeep Learning
  • Experience with ScalableCloud Deployment Architecture for Video Analytics(InvolvingKubernetes andor Kafka)
  • Good experience withany of one cloud technologies like AWS Azure and GoogleCloud.
  • Experience in working with ModelOptimisation for Nvidia Hardware (TensorRT Conversion of bothTensorflow & Pytorch models.
  • Proficientunderstanding of code versioning tools such asGit.
  • Proficient in Data Structures &Algorithms.
  • Well versed in software designparadigms and good developmentpractices.
  • Experience with Scalable CloudDeployment Architecture for Video Analytics(Involving KubernetesandorKafka).




Education/Experience Yearsof Experience : 1.5 to 2.5 years Skills :Strong knowledge in deep learning VideoAnalyticsLocation : BhayanderCTC : 5 LPA to8.4LPANP : immediate to 15 daysjoineeMumbai based candidatepreferredQueries:Email:Call/WhatsApp:

models,cloud,googlecloud,mxnet,computer vision,gpu cudacomputing,git,pytorch,python,skills,model optimisation,deeplearning,azure,docker,tensorflow,aws,video analytics,softwaredesign paradigms,sota computer vision models,algorithms,ngccontainers,c++,scalable cloud deploymentarchitecture,kubernetes,architect,data structures,nvidiadocker,tensorrt,kafka,analytics



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