As the Computer Vision Developer, you will be focusing on application development whilst working within a very dynamic environment, across multiple technologies and disciplines within the computer vision and machine learning space. This is a key role for the business, supporting the delivery of outstanding products to our worldwide customers.
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Fingermark™ is a global tech company based in New Zealand with offices in Australia, Brazil, UAE, and the United States. For over 15 years, they have been a world leader in digital transformation and led the way in developing Artificial Intelligence (AI) and associated hardware products for the Quick Service Restaurant (QSR), Retail and Industrial sectors.
We design, build and deploy leading-edge digital technology solutions enabling operational efficiency, revenue gains and enhanced customer experiences. From AI software with real-time business analytics and consultancy through to kiosks and menu boards - we design fit-for-purpose innovative solutions and ecosystems. Fingermark researches and develops game-changing, innovative technologies that support its vision: to revolutionize customer speed of service.
- Design, develop and apply computer vision and deep learning algorithms using relevant toolsets
- Evaluate and analyse state of the art computer vision and deep learning algorithms
- Build product prototypes and differentiate solutions
- Liaise with the engineering teams to deliver the technologies
- Any other duties as requested in relation to the role
- Fluent in english
- Breadth of knowledge across computer vision and deep learning development, and architecture
- Research of recent deep learning, computer vision, and computer architecture developments
- Ability to understand and implement cutting edge deep learning techniques
- Experience delivering computer vision-based products including practical coding experience
- Experience developing algorithms with computer vision technologies
- Data science experience
- Experience with DNN models and frameworks (e.g. Yolo, SDD, Darknet, Tensorflow, Caffe)
- Neural networks experience
- Demonstrated programming skills with Python
- Analytical and creative problem-solving skills
- Team player and self-motivated
- Ability to work in an Agile environment
- BS/MS/PhD degree in Computer Science, Electrical Engineering or equivalent preferred;
- C++;
- PyTorch would be highly beneficial;
- SSH tunnels, VPN;
- Continuous integration / deployment;
- AWS, Google Cloud Platform;
- English Training
- 4 weeks paid leave
- 10 paid sick days
- 1.000 NZD to spend for professional development.