The world’s largest enterprises rely on Everseen’s AI-driven computer vision solutions to realize transformational outcomes at global scale. By delivering efficiencies throughout their entire value chains, we enable our customers to respond faster and with greater precision to market demands and day-to-day business requirements. For the largest retailers, this often means minimizing asset shrinkage, streamlining logistics and in-store operations as well as delivering a better customer experience.
At Everseen, we passionately believe that if you can see everything, you can fix anything. With innovation as our North Star, we are at the epicenter of a generational convergence of forces, such as AI, computer vision, edge, IoT, and 5G. We are uniquely able to maximize the combined potential to deliver solutions that unlock significant new business opportunities to drive radical value for our customers.
The company is headquartered in Ireland and it has established an AI Research and Development Center of Excellence in Belgrade.
We are looking for Research Scientists with Machine Learning and Computer Vision background (intermediate/senior) who want to work on the leading edge of automation in retail. Passionate individuals with high expertise in Machine Learning and Computer Vision, are encouraged to join the team as we try to create a dynamic, highly active and skilled group that is about to change the video analytics landscape.
Responsibilities:
- Reading scientific papers and implementing appropriate solutions and adjusting the cutting-edge solutions to project needs
- Developing novel solutions in computer vision for retail
- Proposing improvements of existing solutions
- Building/optimizing deep learning-based models for extraction of useful knowledge from real-time video streams.
- Presenting results using data visualization techniques
Qualifications:
- MS or Ph.D. in computer science, electrical engineering, mathematics/statistics, other relevant technical university, or enthusiasts with a strong background / high level of experience in the before mentioned domains.
- The applicants should have intermediate skills in software engineering with expertise in at least one programming language (e.g. Python – preferable, C++, Java…).
- A suitable candidate should be familiar with some of computer vision, machine learning and deep learning libraries (e.g. OpenCV, TensorFlow, Caffe, Keras, PyTorch, Scikit-learn…).
- The applicants should have deep understanding of machine learning concepts from both theoretical and practical perspectives.
- Academic connection is part of our essence, so we would embrace experienced lecturers, teachers / professors who want to take part in this endeavour. Still, programming skills are a must for all members of the team as we see this as one of the critical links between them.
- The candidate must be a highly creative out-of-the-box problem solver, capable of proposing novel solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a realworld context.
- Strong written and verbal communication skills (English).
Preference:
Preference will be given to individuals: with demonstrated / industrial research in the fields of machine learning and deep learning with special focus on computer vision.
