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Computer Vision Engineer at Odixcity Consulting

Odixcity ConsultingNigeria Networking and Tech Support
Full Time
Odixcity Consulting is Nigeria's leading foreign outsourcing firm, specializing in human resources and procurement. We believe in delivering business solutions to groups, entrepreneurs, and SMEs.

Responsibilities

  • Develop and apply computer vision techniques for image recognition, object detection, and image segmentation tasks.
  • Enhance algorithm efficiency and precision through optimization technique.
  • Gather, prepare, and label image datasets for use in training and evaluating machine learning models.
  • Maintain data accuracy and consistency during all stages of the model development lifecycle.
  • Evaluate the performance of computer vision models using standard metrics such as accuracy, precision, and recall to ensure robust and reliable results.
  • Collaborate with cross-functional teams such as; software engineers, data scientists, and product managers to integrate computer vision solutions into real-world applications.
  • Stay current with emerging trends and advancements in computer vision and machine learning to inform and enhance development efforts.
  • Ensuring the privacy and security of visual data.
  • Monitor and maintain deployed models to ensure ongoing performance, accuracy, and reliability in production environments.
  • Debug and fix issues in the existing computer vision system.
  • Test and validate computer vision solutions and improve performance over time.

Requirements

  • A Bachelor’s Degree in Computer Science, Electrical Engineering, or a related field.
  • Proven experience as a Computer Vision Engineer or similar role.
  • Proficiency in programming languages such as Python, C++, or Java, and experience with computer vision libraries and frameworks.
  • Knowledge of machine learning and deep learning algorithms.
  • Experience with image recognition, tracking and 3D reconstruction.
  • Strong understanding of linear algebra, optimization, probability and statistics.
  • Portfolio showcasing relevant projects or contributions to open-source initiatives.
  • Strong problem-solving abilities.
  • Good communication skills for collaboration with cross-functional teams.
  • Ability to work independently and manage time effectively.

Method of Application

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