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Cloud-based optical tracking systems engineer

Melbourne
beBeeFullstackengineer
System Engineer
Posted: 10 September
Offer description

Job Overview

We are seeking a highly skilled and experienced Full Stack Developer to join our team. As a key member of our engineering team, you will be responsible for designing, deploying, and maintaining cloud-based optical tracking systems for sports.

You will work closely with our Computer Vision Engineers and Software Developers to deploy and scale high-accuracy, low-latency ML pipelines on Google Cloud Platform. This role requires a strong background in software engineering, machine learning, and cloud computing, as well as excellent communication and collaboration skills.

The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, and 5+ years of experience in full stack software engineering with strong cloud (GCP mandatory) and machine learning system deployment exposure.

* Design, implement, and maintain real-time, cloud-based ML pipelines for optical tracking (e.g., ball/player detection, multi-modal fusion)
* Build and manage cloud infrastructure to support high-throughput video and 3rd party tracking data ingestion, model inference, and event streaming.
* Contribute to the training and tuning of ML models for live and autonomous sports data capture
* Architect and deploy scalable and reliable systems on Google Cloud Platform using containers, Kubernetes, Pub/Sub, and serverless services

This is an exciting opportunity to join a fast-growing business during an exciting period of expansion. We look forward to welcoming you to our dynamic team.

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