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The job will involve Identifying areas where AI techniques can be used to help the customer improve productivity . Designing AI-based applications for  image analysis, pattern recognition, character recognition, classification, NLP etc. Training and guiding team members in AI techniques and their applications, with respect to implementations in products and services. Advising customers and helping them build their AI implementation strategies.





What You’ll Do

  • Development of computer vision and machine learning algorithms and applications

  • Develop proof-of-concept implementations, prototypes and demos to fine-tune technologies to practical, state-of-the-art systems

  • Perform experiments and evaluations to quantify and validate improvements made to existing systems

  • Take responsibility for communicating with different engineers (embedded systems, backend server, computer vision) to continuously improve and optimize implemented algorithms

  • Create automated software tests and provide support to trouble shoot software issues when needed

  • Documentation of algorithms

  • Research fundamental problems and implement algorithmic solutions that are appropriate

  • Provide recommendations and solutions to problems using experience in multiple technical areas

  • Receive little instruction on day-to-day work and general instructions on new assignments

Who You are

  • Masters/PhD in computer vision or machine learning; alternatively a comparable industry career, with significant experience in delivering products using state-of-the-art computer vision and/or machine learning systems

  • Solid foundation in computer vision; key areas of interest include object detection, tracking and recognition; multiple view geometry, 3D computer vision and SfM/SLAM; activity recognition

  • Takes ownership of their work, is self-motivated & practical in their problem-solving and thrives in a fast-paced, highly-collaborative applied research environment

  • Experience with deep learning and computer vision libraries, e.g., PyTorch, TensorFlow, Caffe, OpenCV, etc

  • Ability to adapt and use these patterns in innovative ways to develop custom solutions

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