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Machine Learning Architect

1 week ago

London, Ontario, Canada Quincus Full time
About Quincus

Quincus is a B2B supply chain operating SaaS platform headquartered in Singapore. We solve today's global supply chain challenges with groundbreaking technology using AI and machine learning. Our team is passionate about developing and deploying machine learning algorithms at scale to optimize logistics processes and provide full transparency into supply chains.

We were founded in 2014 by two visionary entrepreneurs who possess more than a decade of experience in tech. Our Chief Product Officer, Katherina-Olivia Lacey, is leading a tech revolution in the supply chain industry while empowering women in the supply chain industry. Our CEO, Jonathan E. Savoir, appeared on Forbes' 30 Under 30 Asia List in 2020 and serves on the boards of several startups.

Our Mission

We aim to build the next generation of intelligent systems for all Quincus products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Our teams collaborate closely with other teams across Quincus to maintain flexibility and versatility required to adapt to new projects and focuses that meet the demands of the world's fast-paced business needs.

Key Skills and Qualifications

- Deep learning and reinforcement learning expertise
- Programming skills in Python (C++ or Java a plus)
- Experience with GPU programming using CUDA, OpenCL, or similar libraries
- Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS
- Strong understanding of computer architecture and performance optimization
- Excellent communication and collaboration skills

How to Apply

If you are passionate about developing and deploying machine learning algorithms at scale, and want to join a dynamic team working on cutting-edge technology, we encourage you to apply for this position.