Computer Vision Architect, Manager – Applied Artificial Intelligence

The team

Analytics & CognitiveIn 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
• Bachelors 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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