Description
Job Description
The Advanced Analytics CoE (AA COE) is a part of the VP Digitalization (PTT/D) organization and is accountable for developing innovative advanced analytics capabilities, maturing them, and transitioning them to the analytics organizations within the broader IT function. The Advanced Analytics CoE works with other CoEs within the VP Digitalization organization to develop innovative digital products. Within the AA COE organization, the Data Science team is responsible for delivering the Data Science elements of advanced analytics projects. The Data Scientists need to work closely with Data Engineering and Software Engineering teams to ensure that appropriate technical support is provided throughout the life cycle of Advanced Analytics projects.
A Computer Vision Data Scientist will work in our Machine Vision team within the organization's broader AA COE Data Science team. Within the organization there is a huge amount of data collected in the form of images and videos and we have a dedicated Machine Vision team in the organization working on extracting useful information from the data to help business decisions. As a Computer Vision Data Scientist, you will be responsible for using cutting-edge technology to deliver Computer Vision based solutions leveraging, for instance, Deep Learning frameworks for object detection and recognition. You should have a deep understanding of Computer Vision algorithms and tools. You should be excellent in Python (or an equivalent programming language) and know how to deploy it into productive, business-facing software applications. You should have a good understanding of state-of-the-art Computer Vision technologies and be willing to explore how new technologies and approaches can be used to enable business use cases.
Job Purpose
Responsible for development & delivery of computer vision solutions in an agile fashion to enable insights & improvements to the organization's business data and processes.
Accountabilities
- Accountable for working with business to prepare requirements and technical feasibility for computer vision projects, based on data and hardware requirements.
- Accountable for designing & testing computer vision algorithms (with the support of data engineers) and deploying these algorithms within the organization's infrastructure.
- Accountable for developing algorithms and testing algorithms with business.
- Accountable for assessing new Computer Vision technologies and techniques in terms of viability for the organization.
- Accountable for supporting development of the organization digital strategy for 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 and technologies (eg Azure, AWS, Google, etc.)
- Dealing with a multinational work environment and stakeholders.
Skills & Requirements
- Bachelor or Master degree in computer science, computer vision, deep learning, machine learning or relevant areas; Masters degree is preferred.
- Proven practical experience with relevant topics and frameworks in computer vision and machine learning.
- Experience working with one of the following deep learning frameworks such as TensorFlow, Keras, PyTorch, or Caffe2, etc.
- Good knowledge on 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.
- Excellent programming skills in Python. Ability to write clean, elegant and maintainable production-level code.
- Creative problem solver and team player with strong communication skills.
Michael Bailey International is acting as an Employment Business in relation to this vacancy.