Largeton Group · 1 month ago
Data scientist – Computer vision Engineer
Dallas, TX
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expLargeton Group is seeking an experienced and innovative CV Data Scientist with a passion for building Efficient CV solutions to spearhead the design and development. The ideal candidate will own the technical architecture and provide hands-on leadership to a team of skilled engineers, solving complex problems and driving the technical vision for critical projects.
ConsultingInformation TechnologyTraining
Responsibilities
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
Qualification
Required
Minimum of 8+ years in software development
At least 5 years of direct, hands-on experience in designing and implementing Computer Vision solutions
Hands-on experience to train computer vision and deep learning models to solve computer vision use cases
Ability to create and optimize algorithms for image and video analysis, for tasks such as object detection, image recognition, segmentation and video analytics
Expertise on different object tracking algorithms and track multi objects in multi cameras
Ability to articulate camera calibration and region of interest extraction
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
Used NVIDIA frameworks preferably like NGC models, TAO toolkit, metropolis Deep stream, triton server, and triton server to create inferencing pipeline and its deployment
Knowledge of optimizing inferencing pipelines to work on edge
Ability to perform necessary pre and post processing to optimize the computer vision models and evaluate it
Experience working on action recognition with temporal analysis
Knowledge on pruning the model for deploying on edge/ARM devices
Collaborate with Business and IT teams
Company
Largeton Group
At Largeton Group, we're passionate about empowering businesses to reach new heights through innovative staffing solutions and cutting-edge technology.
51-200 employees
H1B Sponsorship
Largeton Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (10)
2023 (8)
2022 (6)
2021 (7)
2020 (11)
Funding
Current Stage
Growth StageLeadership Team
Ashutosh Tripathi
Managing Partner
Saurabh Prakash
Client Partnership Manager.
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