Data scientist – Computer vision Engineer

Title: Data scientist – Computer vision Engineer

Location: Dallas, TX (Hybrid) Need Local

Duration: 6 months Possible Extension

Interview Type: Video

Please submit candidate who are comfortable to show their DL and Visa copy over the Video call to PV

Job Description:

We are seeking an experienced and innovative CV Data Scientist with a passion for building Efficient CV solutions to spearhead the design, development. As a subject matter expert, you will own the technical architecture and provide hands-on leadership to a team of skilled engineers. The ideal candidate is a passionate problem-solver, solve the complex problems, driving the technical vision and execution for critical projects that enhance efficiency, visibility, and automation for our clients.

Experience: Minimum of 8 years in software development, with at least 5 years of direct, hands-on experience in designing and implementing Computer Vision solutions.

Computer Vision modeler that ill develop real-time computer vision models

• Python, Pytorch, tensorflow
• CV/ML model development
• Object recognition/Detection
• NVIDIA technologies
• MLOps
  

Job Description:

• Should have the hands-on experience to train computer vision and deep learning models to solve computer vision use cases.
• Should be able to create and optimize algorithms for image and video analysis, 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 be able to articulate camera calibration and region of interest extraction.
• 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 NVIDIA frameworks preferably like NGC models, TAO toolkit, metropolis Deep stream, triton server, and triton server to create inferencing pipeline and its deployment.
• Should have knowledge of optimizing inferencing pipelines to work on edge
• Should be able to perform necessary pre and post processing to optimize the computer vision models and evaluate it.
• Should have experience working on action recognition with temporal analysis
• Should have knowledge on pruning the model for deploying on edge/ARM devices
• Collaborate with Business and IT teams.