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Computer Vision Engineer
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Computer Vision Engineer
Infosys- Posted 12 hours ago
- Be among the first 10 applicants
Job Description
- Design, train, and optimize deep learning models for computer vision tasks such as object detection, image recognition, segmentation, and video analytics.
- Lead large-scale real-time implementations involving 100+ video streams.
- Fine-tune models like CNNs and Vision Transformers using frameworks such as TensorFlow, PyTorch, and ONNX.
- Build and deploy inference pipelines using NVIDIA technologies including NGC models, TAO Toolkit, DeepStream Metropolis, and Triton Server.
- Apply pre- and post-processing techniques to enhance model performance and evaluation.
- Develop and implement multi-object tracking algorithms across multiple camera feeds., Perform camera calibration and extract regions of interest (ROI), action recognition using temporal analysis techniques.
- Develop models for feature extraction and come up with strategies for latent space analysis and manipulation of the data.
- Proficiency in writing complex SQL queries, familiarity with NoSQL or Graph Databases (Neo4j) is an advantage.
- Knowledge of infrastructure as code tools (e.g., Terraform, Ansible) is an advantage.
- Proficiency with containerization technologies (Docker) and orchestration tools (Kubernetes) is an advantage.
- Good knowledge on software configuration management systems
- Strong business acumen, strategy and cross-industry thought leadership
- Awareness of latest technologies and Industry trends
- Logical thinking and problem solving skills along with an ability to collaborate
- Two or three industry domain knowledge
- Understanding of the financial processes for various types of projects and the various pricing models available
- Client Interfacing skills
- Knowledge of SDLC and agile methodologies
- Project and Team management
More Info
Job Type:
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Key Skills
DeepStream
CNNs
ONNX
Metropolis
Triton Server
TAO Toolkit
Vision Transformers
Software configuration management systems
About Company
Skills:
QML, Pytorch, C++, Opencv, Python, MATLAB, Cuda, ROS 2, Kalman filters, FMCW radar, TensorRT
Skills:
graph databases , Sql, Tensorflow, Ansible, Deep Learning, Pytorch, Kubernetes, Nosql, Docker, Neo4j, Terraform, Computer Vision, DeepStream, NVIDIA technologies, ONNX, TAO Toolkit, NGC models, Metropolis, Triton Server
Skills:
object detection , Tensorflow, Pytorch, Opencv, NVIDIA Jetson, TensorRT, scene understanding, video analysis, ONNX
Skills:
object tracking , AWS, Tensorflow, Pytorch, Docker, Opencv, Python, Sagemaker, Object Detection models, MLFlow, MediaConvert
Skills:
object detection , Computer Vision, Tensorflow, Deep Learning, Opencv, Pytorch, Python, Gstreamer, RGB cameras, Nvidia Jetson, Qualcomm RB5, Semantic segmentation, sensor fusion, Depth ToF sensors, IR range sensors, Image classification