Cyrus Innovations seeks to be a value-added distributor with a difference. Our aim is to help system integrators successfully test, evaluate, design and implement new high tech solutions.
Our unique product offerings spread across different technologies but with a common framework of using the IP network as an infrastructure and platform. Cyrus Innovations' key strength lies in its ability to identify and bring to market innovative products and technologies from companies around the world that have a good track record in product quality and reliability. These companies have also won awards and patents through their strong in-house research and development.
Cyrus Innovations comprises a team of highly dedicated and specialized professionals in the field of technology, sales, pre-sales and marketing. Our team also has a proven track record of successful IP CCTV installations with VCA functionality and we constantly keep abreast with the latest developments in technology and are also certified with regular updates and training from our product vendors.
We have also established a multi-purpose technology demonstration facility in our premise to serve our partners and their customers. We constantly hold seminars, workshops, product training, technology demonstrations, proof-of-concept, on-site product testing as part of our value-added services.
Cyrus Innovations works with its system integration partners to serve customers from a diverse marketplace that includes SMEs, MNC, government agencies and institutions. Cyrus is also in the process of building a global presence and already has partner representatives in China, Hong Kong, Taiwan, Brunei, Vietnam, Malaysia, Myanmar, Philippines, Thailand and Indonesia.
We believe our extensive experience and commitment will only serve to create the best value to our partners and their customers.
We have several challenging positions straddling the state of the art, working with academia, while working on real world problems for industry deployment. You might be a coder interested in code optimization, working on systems level issues or architecture. Or you might instead be more interested in the theoretical issues related to computer vision, machine learning and its application to the industry, trying to come up with more efficient inference / optimization algorithms. We are flexible and able to accomodate different roles.
There are a spectrum of problems to work on, ranging from software engineering issues such as architecture, scaling, user interface design to working directly on the computer vision and machine learning algorithms. Additionally, we are collaborating with academic researchers and are open to publication or generating patents. The ideal candidate possess strong practical skills while being able to work in the domain of highly scientific / technical domains of computer vision and machine learning. We are one of the very few places investing serious time and effort to work on the technicalities of computer vision and machine learning to be directly applied to the industry.
We offer a relaxed yet intellectually stimulating atmosphere, and we enjoy our work while having fun. If you think you have approximately the necessary skills or are simply interested to find out more, do not hesitate to send us a mail. We will be happy to talk to you more about us and the job.
Basic requirements:
At least a Bachelors in Computer Science, Engineering, Math, Physics or related disciplines (as long as there is some programming and some mathematical components)
Development experience with C++ / Java / Python
Data structures and algorithms
Comfort with development and debugging under Windows
Good problem solving skills, with desire for quality and engineering excellence
Ability to communicate clearly with peers
Additional good to have skills
Having participated in open source projects or worked with large code bases
Server side architectures and scripting languages
Relevant experience and knowledge of Computer Vision / Machine Learning / Optimization / Statistical Inference and its practical implementation is highly advantageous
Experience with real time computer vision systems
Ability to cope with some mathematics for the more scientific roles (e.g. probability, linear algebra, optimization)
Experience implementing numerical algorithms
Naturally curious, with strong interests/passion in various domains such as technology, engineering and computer science