Infosys is hiring for Data scientist - Computer vision Engineer.
Infosys is a global leader in technology services and consulting. We enable clients in more than 50 countries to create and execute strategies for their digital transformation. From engineering to application development, knowledge management and business process management, we help our clients find the right problems to solve, and to solve these effectively. Our team of 190,000+ innovators, across the globe, is differentiated by the imagination, knowledge, and experience, across industries and technologies that we bring to every project we undertake.
Skills required-
Candidate must be located within commuting distance of Ontario or be willing to relocate to the area. This position may require travel.
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Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
At least 4 years of Information Technology experience.
Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
Data scientist - Computer vision Engineer
Computer Vision modeler that ill develop real-time computer vision models
- Python, Pytorch, tensorflow
- CV/ML model development
- Object recognition/Detection
- NVIDIA technologies
- MLOps
- 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
The job entails sitting as well as working at a computer for extended periods. Should be able to communicate by telephone, email or face to face.
Estimated annual compensation range for the candidate based in the below location will be:
Ontario:$ 89004 to $ 103042