Campus4Tech

Computer Vision Engineer/Data Scientist - Atlanta, GA, 30313

Campus4Tech Atlanta, GA

Description

3 days/wk onsite (Tues-Thurs)

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.
  • 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.
  • Create and Deploy ETL workflows using Alteryx
  • Document the development process, algorithm details, and project results for internal and external stakeholders.
  • Deploy modules in AWS/Azure Cloud environment.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision, machine learning, or image processing.
  • Strong programming skills in Python.
  • Experience with Alteryx
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
  • Proven ability to develop and implement computer vision algorithms.
  • Excellent problem-solving and analytical skills.
  • Team player with strong communication skills to collaborate effectively with various teams.
  • Exposure to machine learning deployment tools like Docker, Kubernetes, etc. is beneficial.
  • Experience with deploying modules in cloud environment.
  • Experience with version control tools such as Git.

Working Conditions

  • 3-month position with flexible hours with possible extension
  • Office environment with options to work remotely as per company policy.
  • Collaborative and innovative team-focused atmosphere.
  • Seniority level

    Entry level
  • Employment type

    Contract
  • Job function

    Engineering and Information Technology
  • Industries

    Professional Training and Coaching

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