Computer Vision Analyst

Auckland Transport; Kumeu; On-site; NZD 80,000 - 100,000; Full time

Job summary

A leading transport authority in Auckland is looking for an experienced Computer Vision Analyst to drive AI and Computer Vision projects. You will develop and maintain CV algorithms and collaborate within Agile teams to optimize city infrastructure. Ideal candidates have a background in Computer Vision technologies and exhibit strong problem-solving and communication skills. Join us in shaping the future of Auckland's transport network. This role offers flexible working options and numerous benefits.

Benefits

25% discount on public transport services

Investment in professional development

Paid parental and partner leave

Health and Wellbeing benefits

Qualifications

• Experience with Intelligent Transportation Systems (ITS) or video analytics.
• Hands-on experience with Computer Vision applications and algorithms.
• Strong background in SQL and data warehousing.

Responsibilities

• Lead Computer Vision projects transforming requirements into solutions.
• Develop and implement CV algorithms and conduct ground truth testing.
• Mentor and train junior analysts in best practices.

Skills

Computer Vision technologies

SQL

Agile methodologies

Problem-solving skills

Communication skills

Education

Bachelor's degree in Computer Science or related field

Master's or PhD in related field

Tools

OpenCV

TensorFlow

Azure DevOps

PowerBI

Docker

Kubernetes

Job description

• Lead and deliver end-to-end Computer Vision projects
• Develop, deploy, and maintain AI and Computer Vision algorithms using modern tools
• Collaborate in a cross-functional Agile team, mentor junior analysts, Permanent opportunity, Viaduct Location

Auckland Transport (AT) is seeking an experienced Computer Vision Analyst to join our innovative team. In this role, you'll apply AI, Computer Vision, and advanced technologies to create, deliver, and support Computer Vision Builds that help shape the future of Auckland's transport network and city infrastructure.

You'll work end-to-end on medium to large-scale projects, collaborating with cross-functional teams in a full Agile environment. Your work will directly contribute to increased parking compliance, efficient incident management, network optimization, and improved safety for Aucklanders.

Key Responsibilities

• Lead and participate in Computer Vision (CV) Builds projects, transforming business requirements into technical solutions and delivering high-quality outcomes.
• Develop and implement CV algorithms, conduct ground truth testing, and refine solutions using AT's CV Tool and APIs.
• Design and fine-tune camera systems, including site visits and CCTV calibration.
• Process structured data, develop ETL jobs, and build PowerBI dashboards.
• Build cloud-native applications and work with Azure DevOps CI/CD pipelines.
• Deploy solutions on OpenShift/Kubernetes platforms using ArgoCD and GitOps.
• Monitor, troubleshoot, and ensure service continuity for CV Builds, including after-hours support as needed.
• Mentor and train junior analysts, sharing knowledge and best practices.
• Collaborate with engineering teams to improve CV tools and APIs, and manage MLOps processes.

Nā tāu rourou | What will you bring?

• Experience in Intelligent Transportation Systems (ITS), smart city initiatives, or video analytics, including practical knowledge of Video Management Systems (VMS) and Computer Vision applications.
• Hands-on experience with the latest Computer Vision technologies, algorithms, and applications (object detection, tracking, image classification).
• Experience with open-source Computer Vision libraries (e.g., OpenCV, OpenAI, YOLO), AI frameworks (TensorFlow, PyTorch), and MLOps platforms.
• Strong background in SQL, data warehousing, ETL, and PowerBI.
• Experience with Linux, Docker, Kubernetes, OpenShift, and cloud-native applications.
• Confident with Azure DevOps and CI/CD pipelines.
• Practical experience with Agile methodologies.
• Excellent communication skills, able to convey technical concepts to diverse audiences.
• Strong problem-solving skills, proactive attitude, and ability to work collaboratively in a fast-paced environment.
• Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field with a focus on Computer Vision, Image Processing, Machine Learning, or Deep Learning Or preferably Master's or PhD in a related field.

At AT, weembraceinclusion and fully support building a diverse workplace where people come first and we feel safe, respected, valued and supported, inclusive of our differences.Our values are more than just words - they are integral to everything we do. Manaakitanga - We care, Tiakitanga - Safe with us, Whanaungatanga - We connect, Auahatanga - Better, bolder, together.

Our flexible working initiativeempowersour peopleto work flexibly whilst meeting the needs of our customers, the organisation, and the individual.

In addition, we also offer:

• 25% discount on public transport services across Auckland
• Investment in your professional development and training
• Opportunity for greater leadership and accountability
• ModernCBD (Wynyard Quarter) waterfront-basedoffice
• Paid parental and partner leave
• Study assistance
• Health and Wellbeing benefits
• Professional memberships
• AT Connect groups such as Mana ka Māori, Women@AT, and many more!

Come join us in in shaping the future of transport in Auckland - apply today! If this sounds like your ideal role, then we'd love to hear from you.

For further information or a confidential chat, please contact Rennie [e-mail] . Applications close 12 th of October 2025.