The best face and image recognition jobs to apply for

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For the past two decades, face and image recognition technologies and platforms have been making headlines in the IT industry.

In healthcare, e-commerce, security, and other global industries, image and face recognition systems are frequently used. So far, the process has been flawless. It has led some tech experts to believe that this technology can rival, if not outperform, human performance in a variety of medical diagnosis and security fields. Several brands are now leveraging picture recognition technology to understand the demands of the industry and target audience and use visual information to fuel more meaningful communications by combining text and visual analytics.

This industrial phenomenon has resulted in a rise in the number of face and image recognition jobs that may be evaluated by competent personnel who can take use of the technology’s power. In this post, we’ve compiled a list of the best face and image recognition jobs available in January 2022.

Analyst in Machine Learning Image Recognition

Integrated Statistics provides this service.

  • Location: Woods Hole, Massachusetts (Remote)

Responsibilities

  • Model training and testing are among the responsibilities.
  • Creating a system and procedure for doing automated picture analysis using machine learning-based video analytics
  • Creating reports that employ image data to support assessments of future fisheries impacts on species
  • Investigating and selecting appropriate machine learning tools and open-source resources for a data-scarce situation.

Qualifications and Skills

  • Bachelor’s degree in computer science, data science, or a related field
  • At least one programming language relevant to machine learning or AI for image identification is required.
  • Should be capable in project planning, management, and statistical programming.
  • Excellent communication abilities, both written and oral
  • Experience in photogrammetry and information extraction for picture recognition using machine learning and deep neural networks

Visualisation Artist

General Motors

North Hollywood, California

Responsibilities

  • From the start of the project, you’ll be in charge of CG-related concepting, modelling, animation, lighting, rendering, composition, and sound.
  • To ensure project success, cooperate and communicate with other departments, as well as cross-functional teams during various visualisation pipeline steps.
  • Be confident in your ability to do research and development, as well as creative and technical investigation.
  • Have great problem-solving abilities as well as the ability to take feedback and follow art directives.

Qualifications and Skills

  • VRED, Unreal Engine 4, and/or Maya experience of at least 3 years
  • MS Office expertise (Word, Excel, PowerPoint)
  • Passion for new technologies, visual storytelling, and mastery of all areas of automobile visualisation
  • Ability to lead others
  • Possibility of producing photo-realistic renderings of high quality

Image Processing and Pattern Recognition Programmers

 Santa Clara, California

Responsibilities

  • Develop and develop image analysis techniques and code for analysing huge image datasets.
  • Create a versatile framework for image analysis on massive datasets.

Qualifications and Skills

  • A bachelor’s degree in computer science or mathematics is required.
  • Pattern recognition techniques for picture analysis over noisy and uncertain datasets have piqued my curiosity.
  • Java programming abilities

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