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Job Details


Deloitte

Computer Vision Architect, Manager - Applied Artificial Intelligence (26127)

Branch Manager

Manager

Yearly

No

Phoenix, Arizona, United States

Limited immigration sponsorship may be available.

The team
Analytics & Cognitive
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting enterprise programs and differentiated strategies to win in their chosen markets.

The Analytics & Cognitive team works with our clients to:

  • Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based as well as client-owned platforms
  • Deploy automation and cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
  • Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements


Qualifications:
  • 6+ years of relevant work experience
  • 2+ years of experience leading and managing project teams
  • 2+ full cycle product experiences (prototype to production) deploying computer vision solutions
  • API development experience
  • Bachelor's Degree
  • Travel up to 50% of the time (Monday - Thursday/Friday) (While 50% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice.)


Preferred:
  • Advanced Degree preferably in applied mathematics, statistics, computer science, data science, electrical engineering, physics, or closely related field
  • Formal training in one or many of the following: computer vision, image processing, linear and non-linear programming, machine learning, linear algebra
  • Certification or expertise on at least one of the following platforms: Google Vision, AWS Rekognition, Azure Computer Vision/Face/Content Moderator, or Watson Visual Recognition
  • Expertise in computer vision or deep learning frameworks and libraries, e.g. PyTorch, OpenCV, Keras, Tensorflow, scikit-image
  • Advanced skills in Python
  • Strong knowledge of machine learning, deep learning, image processing, computer vision
  • Experience with quantitative modeling (design, development & implementation) using 3+ types of algorithms (e.g., YOLOv3, RetinaNet, Faster R-CNN)
  • Expertise in fields e.g. structured information extraction, object detection, action recognition, image segmentation, spatiotemporal modeling (hybrid CNN/RNN)
  • Ability to work independently, manage small engagements or parts of large engagements.
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
  • Strong problem solving and troubleshooting skills with ability to exercise mature judgment.


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