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 realtime computer vision models
Python Pytorch tensorflow
CV/ML model development
Object recognition/Detection
NVIDIA technologies
MLOps
- Should lead development optimization and deployment of cuttingedge 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 largescale implementation with 100 stream in real time
- Finetune 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 modelsTAO 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.