What are the responsibilities and job description for the Senior data scientist Lead/Architect Computer Vision Lead position at Wise Skulls llc?
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.
