Job Description

Title: Senior data scientist Lead/Architect Computer Vision Lead
Location: Dallas, TX (Hybrid) Few days in a month but He/She needs to be at the client location when needed.
Duration: 6+ Months (Long term contract)
Implementation Partner: Infosys
End Client: To be disclosed (Retail Domain)

JD:

Computer Vision modeler that will develop real-time computer vision models
Python, Pytorch, tensorflow
CV/ML model development
Object recognition/Detection
NVIDIA technologies
MLOps

• Should lead development, optimization and deployment of cutting-edge computer vision models to solve complex computer vision use cases.
• Should leverage their expertise in ML, DL, and NVIDIA platforms to deliver scalable and efficient solutions.
• Should be able to analyze large volume of images/videos to extract meaningful insights.
• Design and development advanced CV models for tasks such as object detection, image recognition, segmentation and video analytics.
• Should have expertise on different object tracking algorithms and track multi objects in multi cameras.
• Should have experience working on a large-scale implementation with 100+ stream in real time
• Fine-tune deep learning models like CNNs, vision transformers using frameworks such as Tensorflow, PyTorch, onnx etc.
• Should have used machine learning frameworks preferably nvidia stack NGC models,TAO toolkit, metropolis Deep stream
• Should optimize models for performance on NVIDA GPUs using library like TensorRT, cuDNN, NVIDIA deep learning SDK.
• Develop scalable, GPU accelerated solutions for CV workloads using NVIDIA platforms like NVIDIA jetson, DGX system, Triton inference server.
• Architect end to end pipelines for training, testing and deploying CV models in cloud and edge environments.
• Collaborate with engineering team to integrate model into production system.
• Work with domain experts to define problem statements and deliver tailored AI solutions. Provide technical mentorship and guidance to team members.
• Should have latest advancement in CV and GPU acceleration technologies.

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