You will leverage your strong modelling skills and ability to extract valuable insights from highly complex data sets in computer vision use cases.
Responsibilities
- Develop, optimize and deploy cutting-edge computer vision models to solve complex computer vision use cases.
- Utilize ML, DL, and NVIDIA platforms to deliver scalable and efficient solutions.
- analyze large volume of images/videos to extract meaningful insights.
- Design advanced CV models for tasks such as object detection, image recognition, segmentation and video analytics.
- Utilize different object tracking algorithms and track multi objects in
- multi cameras.
- Work 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.
- Develop scalable, GPU accelerated solutions for CV workloads using NVIDIA platforms like NVIDIA jetson, DGX system, Triton inference server.
Qualifications
- Masters Degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- Experience with Python, Pytorch, tensorflow
- Experience with CV/ML model development
- Object recognition/Detection
- Working knowledge of NVIDIA technologies
- MLOps
