• Opportunity to work on leading-edge computer vision products on a global scale
• Senior, hands-on engineering role with optional leadership scope
• Hawke’s Bay based or remote within New Zealand
About Fingermark
Fingermark™ is a global tech company based in New Zealand with teams in Australia, Brazil, the Philippines, Canada and the United States. For over 17 years it has been a world leader in digital transformation and leads the way in the development of Artificial Intelligence (AI) and associated hardware products for the Quick Service Restaurant (QSR) sector.
Fingermark designs, builds and deploys 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 - Fingermark designs fit-for-purpose innovative solutions and ecosystems.
Fingermark are partnering with some of the world’s biggest QSR brands to deliver innovative solutions that transform how they do business. To help us deliver on our vision, we are looking for a Senior Computer Vision Engineer to join our team.
About the role
This is a senior, hands on engineering role within Fingermark’s Computer Vision team.
The primary focus of the role is contributing directly to the design, build and operation of Fingermark’s computer vision systems, working across hybrid environments including cloud and edge devices. Strong platform engineering capability and experience operating production systems are central to the work.
Team leadership capability and interest are welcomed but not essential. Depending on experience and interest, the role may include mentoring other engineers, contributing to technical direction, and supporting delivery practices within the team.
The role can be based in Hawke’s Bay or remote within New Zealand. Work hours align with NZ business hours.
About you
You’re a senior computer vision engineer with strong software engineering fundamentals and experience working in production environments. You’re comfortable operating across the full machine learning lifecycle and working with systems deployed across cloud and edge devices.
You enjoy solving complex technical problems and contributing directly to systems that run in the real world. Strong engineering practices matter to you, and you value clear, pragmatic approaches to building and maintaining reliable software.
If you have experience leading or mentoring other engineers or you’re interested in stepping further into a leadership role over time, there is scope to do so.
You’ll bring
- A strong software engineering background, with proficiency in Python and experience using libraries such as OpenCV, PyTorch or TensorFlow, NumPy or scikit-image
- Experience applying computer vision techniques and deep learning methods, including object detection and segmentation
- Experience working across cloud and edge environments, including deployment to edge and extreme-edge devices
- Solid experience deploying and operating microservices using Docker, Kubernetes and Helm
- Experience with model deployment and optimisation using tools such as NVIDIA Triton, ONNX, TensorRT or NVIDIA DeepStream
- An understanding of the end-to-end ML lifecycle, including data collection, labelling, augmentation, training, validation and continuous evaluation
- Experience designing scalable data pipelines and APIs for video, image or sensor data
- Familiarity with AWS services such as S3, EC2, IoT Core and DynamoDB
- Experience with monitoring and logging in production environments (e.g. Prometheus, Grafana, ELK or similar)
- An understanding of CI/CD workflows and experience working with distributed systems
Team leadership experience (desirable, not essential)
- Experience mentoring engineers and supporting their technical development
- Confidence contributing to code quality through reviews and shared standards
- Experience supporting agile delivery practices such as sprint planning and backlog refinement
- Ability to collaborate effectively with product managers, engineers and operations teams
- Clear communication when discussing technical work with non-technical stakeholders
Why join us?
This is an opportunity to work on production computer vision systems used globally, within a supportive and technically strong team.
Fingermark values a grounded, collaborative company culture. We look for people who care about solving real customer problems with technology and who enjoy working together to build practical, reliable solutions.
That’s why we offer:
• Competitive salary and private health insurance
• Extra paid day off for your birthday
• Flexible sick leave policies
• Two weeks of additional paid parental leave
• Ongoing professional development and career growth opportunities
• A supportive environment that values balance and wellbeing
At Fingermark, we own it, stay brave and are customer obsessed. We’ve always got your back, and we don’t forget to enjoy the journey along the way.
Ready to make your mark?
Apply online with your CV and cover letter, or for a confidential chat, contact Martin on 021 959 303 or [email protected]
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Top Skills
What We Do
At Fingermark we believe the key to success within QSR is the ability to provide speed of service for a better customer experience.
We optimize and empower those within QSR by developing world-leading technology solutions to increase speed and efficiencies throughout your restaurant.
As the QSR industry evolves, Fingermark has evolved with it and we are dedicated to developing advanced AI and computer vision technology solutions for leading QSR’s globally.
Fingermark creates intelligent data-driven solutions using highly accurate data and real-time insights, to empower decision-making. This helps deliver greater organizational change and ultimately drives increased revenue.
We continue to develop innovative, future-focused solutions that continue to deliver an improved speed of service to all areas of this fast-paced industry.
Contact us at: http://www.fingermark.ai to learn more.
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