AI - Computer vision - 31151

Job Description

• Strong development skills required in Python and C.
• Ability to architect a solution based on given requirements and convert the business requirements into a technical computer vision problem statement.
• Ability to work in a fastpaced environment and coordinate across different parts of different projects.
• Bringing in the technical expertise around the implementation of best coding standards and practices across the team.
• Work on Various SOTA Computer Vision Models Dataset Augmentation & Dataset Generation Techniques that help improve model accuracy & precision.
• Work on development & improvement of End to End Pipeline use cases running at scale.
• Proficient with Training of Detection Classification & Segmentation Models with Tensorflow PyTorch MXNet etc
• Programming skills with multithreaded GPU CUDA computing and API Solutions.
• Extensive experience of working on edge devices like Jetson Nano Raspberry Pi and other GPU powered low computational devices.
• Experience with using Docker Nvidia Docker Nvidia NGC containers for Computer VisionDeep Learning
• Experience with Scalable Cloud Deployment Architecture for Video Analytics(Involving Kubernetes andor Kafka)
• Good experience with any of one cloud technologies like AWS Azure and Google Cloud.
• Experience in working with Model Optimisation for Nvidia Hardware (TensorRT Conversion of both Tensorflow & Pytorch models.
• Proficient understanding of code versioning tools such as Git.
• Proficient in Data Structures & Algorithms.
• Well versed in software design paradigms and good development practices.
• Experience with Scalable Cloud Deployment Architecture for Video Analytics(Involving Kubernetes andor Kafka).
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Education/Experience

models,cloud,google cloud,mxnet,computer vision,gpu cuda computing,git,pytorch,python,skills,model optimisation,deep learning,azure,docker,tensorflow,aws,video analytics,software design paradigms,sota computer vision models,algorithms,ngc containers,c++,scalable cloud deployment architecture,kubernetes,architect,data structures,nvidia docker,tensorrt,kafka,analytics