Auckland-Based Senior AI Engineer: Vision & Systems

Daikin New Zealand; Auckland; On-site; NZD 90,000 - 102,000; Full time

Job summary

Sentribee Limited in Auckland seeks a Senior AI Engineer to design, develop and maintain AI-powered software for our products and projects. You will lead AI architectures and scalable inference pipelines across edge and cloud platforms.

Ideal candidates have a degree in CS/SE or 5+ years in AI engineering, strong Python, PyTorch and TensorFlow skills, and a track record of collaboration across teams.

Experience with sensors, IoT, data processing, security and responsible AI practices is a plus.

Qualifications

• Bachelor's degree in computer science, software engineering or related field.
• 5+ years in AI engineering, ML, CV or advanced software development.
• Advanced proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow).
• Experience designing complex AI architectures, APIs and scalable inference pipelines.
• Experience with cameras, sensors, IoT, edge and cloud platforms.

Responsibilities

• Lead the design, development, training, evaluation and optimisation of AI models.
• Develop computer-vision solutions: detection, tracking, classification, recognition, segmentation.
• Design scalable AI architectures integrating vision, sensors, edge, cloud, APIs.
• Lead deployment, monitoring and optimisation of AI systems across environments.
• Provide technical leadership and mentoring to engineers.

Skills

Python

AI

Machine learning

Computer vision

APIs

Edge computing

Education

Bachelor's degree or higher in CS/Software Engineering

Tools

PyTorch

TensorFlow

Python

Job description

Sentribee Limited in Auckland seeks a Senior AI Engineer to design, develop and maintain AI-powered software for our products and projects. You will lead AI architectures and scalable inference pipelines across edge and cloud platforms.

Ideal candidates have a degree in CS/SE or 5+ years in AI engineering, strong Python, PyTorch and TensorFlow skills, and a track record of collaboration across teams.

Experience with sensors, IoT, data processing, security and responsible AI practices is a plus.