Machine Learning Engineer

Job Title: Machine Learning Engineer

APAC Region | Surry Hills, Sydney

Reports to:
Machine Learning Lead

Company Overview: proprietary data platform processes billions of data points daily from cutting-edge IoT devices, empowering us to deliver insights on people flow, wayfinding, and queue management. From major international airport terminals to stadiums and smart cities, we enhance operational efficiency and elevate passenger experiences globally.

About the Role: Join a pioneering Australian-owned software company specialising in big data products that analyse human interactions. As a Machine Learning Engineer, you will collaborate closely with our engineering team on high-impact features, with a specific focus on our Computer Vision (CV) roadmap for airport environments. Your work will involve building robust models that track passenger journeys from "curb to gate," optimising terminal flow and enhancing security through automated spatial intelligence.

Responsibilities:

• Drive innovation in machine learning models and algorithms to optimise our data insights platform and Intelligent Video Analytics capabilities.


• Collaborate with big data engineers and product managers to implement high-throughput, real-time solutions for computer vision applications.


• Conduct statistical analysis and apply ML techniques—including computer vision, spatial analytics, AI models, and time-series forecasting—to enhance product capabilities like queue management and passenger flow.


• Design and develop robust codebases and pipelines using Python, C++, SQL, and Deep Learning frameworks, leveraging computer vision SDKs like NVIDIA DeepStream and GStreamer.


• Utilise containerization technologies (e.g., Docker, Kubernetes) and cloud services for scalable, low-latency system design at the edge.


• Foster an Agile environment with strong coding practices, code reviews, and continuous integration.

Requirements:

• Experience: Minimum 4 years of experience as a Machine Learning Engineer or Data Scientist.


• Core Languages: Strong proficiency in Python and SQL, and hands-on C++ with a focus on writing performance-critical code.


• Computer Vision Stack: Proven experience with Computer Vision SDKs, preferably NVIDIA DeepStream and GStreamer for real-time video analytics.


• Technical Expertise: Expertise in machine learning techniques, AI model development, statistical analysis, time-series forecasting, computer vision, and deploying real-time inference models.


• Infrastructure: Experience with cloud technologies (preferably AWS) and containerisation (e.g., Docker, Kubernetes).


• Soft Skills: Excellent communication skills and the ability to engage with stakeholders to understand complex business requirements in high-stakes environments.


• Engineering Standards: Familiarity with version control (Git), Agile methodologies, and collaborative problem-solving.


• Right to Work in Australia and residing in Sydney

Perks and Benefits:

• Work on-site or remote work (with in-office collaboration days for employees with local offices). 


• Annual Birthday leave.


• Annual Learning & Development 


• Continuous training and career development opportunities.


• Inclusive workplace culture that values diversity, equity, and belonging.
  
  

Please note: if you are offered a role, background checks may be required, including police, employment, and qualification checks.