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Urgent! Computer Vision Analyst Job Opening In Auckland – Now Hiring Auckland Transport

Computer Vision Analyst



Job description

Lead and deliver end-to-end Computer Vision projectsDevelop, deploy, and maintain AI and Computer Vision algorithms using modern toolsCollaborate in a cross-functional Agile team, mentor junior analysts, Permanent opportunity, Viaduct LocationAuckland 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 ResponsibilitiesLead 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.Na tau 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 AucklandInvestment in your professional development and trainingOpportunity for greater leadership and accountabilityModernCBD (Wynyard Quarter) waterfront-basedofficePaid parental and partner leaveStudy assistanceHealth and Wellbeing benefitsProfessional membershipsAT Connect groups such as Mana ka Maori, , 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 ****** .
Applications close 12 th of October ****.
#J-*****-Ljbffr


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    Unlock Your Computer Vision Potential: Insight & Career Growth Guide


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