Company:
Georgia IT Inc.
Location: Atlanta
Closing Date: 19/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Computer Vision Engineer/Data Scientist
Location: Atlanta, GA (Hybrid – 3 days a week)
Duration: 06/24/2024 - 10-11-2024
Rate: DOE
Paytype: W2 only
US Citizens and Green cards are Preferred.
KEY RESPONSIBILITIES:
Research, analyze, and develop computer vision algorithms for image and video processing, object detection, recognition, tracking, and classification.
Optimize and enhance existing computer vision models and systems for better accuracy and efficiency.
Create and Deploy ETL workflows using Alteryx
Collaborate with cross-functional teams including software engineers, machine learning experts, and product managers to integrate computer vision technology into products and services.
Experiment with new and emerging technologies to solve complex real-world problems using computer vision techniques
Collect, clean, and preprocess visual data to be used in machine learning model training.
Stay up to date with the latest developments in machine learning and computer vision research.
Write reusable, testable, and efficient code.
Document the development process, algorithm details, and project results for internal and external stakeholders.
Deploy modules in AWS/Azure Cloud environment.
Location: Atlanta, GA (Hybrid – 3 days a week)
Duration: 06/24/2024 - 10-11-2024
Rate: DOE
Paytype: W2 only
US Citizens and Green cards are Preferred.
KEY RESPONSIBILITIES:
Research, analyze, and develop computer vision algorithms for image and video processing, object detection, recognition, tracking, and classification.
Optimize and enhance existing computer vision models and systems for better accuracy and efficiency.
Create and Deploy ETL workflows using Alteryx
Collaborate with cross-functional teams including software engineers, machine learning experts, and product managers to integrate computer vision technology into products and services.
Experiment with new and emerging technologies to solve complex real-world problems using computer vision techniques
Collect, clean, and preprocess visual data to be used in machine learning model training.
Stay up to date with the latest developments in machine learning and computer vision research.
Write reusable, testable, and efficient code.
Document the development process, algorithm details, and project results for internal and external stakeholders.
Deploy modules in AWS/Azure Cloud environment.
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