Description
Templeton and Partners is currently working with one of our global commercial client to search for a Computer Vision Specialist.
Long-term project based in in Amsterdam.
The Task
As a Computer Vision Specialist, you will be responsible for using cutting-edge technology in Computer Vision field for instance, Deep Learning based object detection and recognition to deliver projects. You should have a great understanding of Computer Vision algorithms and tools.
You also should master at least one programming languages and know how to use it in practice. A good understanding of state-of-the-art technologies and is willing to explore technologies to contributing to delivering business values. You will use these methods in a broader sense, to solve business problems by working with Business Analysts and business SME/users to assess opportunities and review expected outputs. You will be able to build solutions that are useful to the end-users, and scalable within company's existing software landscape.
Responsible for development & delivery of computer vision solutions in an agile fashion to the business in order to provide insights & improvement to business processes and solving business problems.
Accountabilities
Accountable for working with business to prepare requirements and technical feasibility study for a computer vision related project
Accountable for designing computer vision algorithms with data engineer to deploy these algorithms within infrastructure
Accountable for developing algorithms and testing algorithms with business
Accountable for bringing new technologies into company and scoping digital strategy around computer vision
Special Challenges:
Building constructive and trusting relationships with mostly remote business stakeholders
Dealing with challenges in data acquisition from other parts of the business
Working with different vendors to develop understanding of the state-of-the-art computer vision techniques
Dealing with a multinational and multilingual work environment
Skills & Requirements:
Bachelor or Master degree in computer science, computer vision, machine learning or relevant areas
PHD in relevant domain is strongly preferred
Proven practical experience with relevant topics in computer vision and machine learning
Practical experience on designing and developing Real Time Computer Vision algorithms on edge devices is highly preferred
Experience with one of the following deep learning frameworks such as TensorFlow, Keras, PyTorch, or Caffe2, etc
Good knowledge on Linux, OpenCV and relevant Computer Vision libraries
Close familiarity with the latest research on Computer Vision techniques, such as detection, segmentation, classification, tracking and SLAM, etc
Good knowledge of Python or C++
Good understanding of mathematics and algorithms is a strongly preferred
Ability to write clean, elegant and maintainable production-level code
Creative problem solver and team player with strong communication skills