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.
