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.
Join Us. Apply Now!
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
- 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
- Continuous integration / deployment
- AWS, Google Cloud Platform
- 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
- 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