Computer Vision Analyst
2 weeks ago
**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**
**Te Whiwhinga mahi | The opportunity**
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.
- 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?**
- Proficiency in programming languages: C++, C#, Java, JavaScript, Python.
- 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.
- 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.
**Ko mātou tēnei | Our Organisation**
At AT, we embrace inclusion 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 initiative empowers our people to 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
- Modern CBD (Wynyard Quarter) waterfront-based office
- Paid parental and partner leave
- Study assistance
- Health and Wellbeing benefits
- Professional memberships
**Ka tiaki mātou i te hunga katoa ka eke waka i Tāmaki Makaurau. We tiaki all those who use transport in Tāmaki Makaurau.**
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