
Cloud Data Architect
3 days ago
We are seeking a skilled Full Stack Engineer to join our team.
Job SummaryThe Full Stack Engineer will be a critical contributor to the design, deployment, and ongoing refinement of cloud-based optical tracking systems for sport.
- Design and implement real-time, cloud-based machine learning 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 machine learning 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
To succeed in this role, you will require:
- Bachelor's or Master's degree in Computer Science, Machine Learning, or related field (or equivalent experience).
- 5+ years experience in full stack software engineering, with strong cloud (GCP mandatory) and machine learning system deployment exposure
This is an excellent opportunity to work on cutting-edge technology and contribute to the development of innovative solutions. We offer flexible working arrangements and a strong focus on health and wellbeing.
What We OfferIn addition to a competitive salary and benefits package, we offer:
- Flexible hybrid working arrangements
- Financial support for setting up a remote workspace
- A vibrant and supportive team culture
We are committed to providing a stimulating and rewarding work environment that allows our employees to grow and develop their skills.
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