“Make every logistics journey your best one yet”
The Company.
Founded in 2014, 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, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain.
Quincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer Katherina-Olivia Lacey is leading a tech revolution in this space while empowering women in the supply chain industry. Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes’ 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.
Overview.
Quincus Research is building 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. Quincus Research teams collaborate closely with other teams across Quincus, maintaining the flexibility and versatility required to adapt new projects and focuses that meet the demands of the world’s fast-paced business needs.
Job Overview.
We are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows.
Responsibilities:
– Design and implement scalable systems for serving deep learning and reinforcement learning models.
– Optimize inference performance of deep learning and reinforcement learning models using techniques such as quantization, pruning, and distillation.
– Utilize GPU computing to accelerate model training and inference.
– Develop and deploy production workflows for training and serving machine learning models.
– Collaborate with data scientists and software engineers to design and implement machine learning systems.
– Monitor and improve the performance of machine learning models in production.
– Stay up-to-date with the latest research and techniques in deep learning and reinforcement learning.
Qualifications:
– Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
– 3+ years of experience in software engineering or machine learning engineering.
– Strong programming skills in Python (C++ or Java a plus)
– Experience with deep learning frameworks such as TensorFlow or PyTorch.
– 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.
Preferred Qualifications:
– Ph.D. in Computer Science, Electrical Engineering, or a related field.
– 5+ years of experience in software engineering or machine learning engineering.
– Experience with reinforcement learning algorithms and frameworks.
– Experience with production deployment of machine learning models and implementation of APIs for big data.
– Strong understanding of computer architecture and performance optimization.
– Strong communication and collaboration skills.
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.
Working in Toronto, Ontario
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Toronto is the most populous city in Canada and the capital city of the Canadian province of Ontario. It is located on a harbour at the northwestern shore of Lake Ontario. The city is the fourth-most populous city in North America, behind Mexico City, New York City, and Los Angeles, with a census population of 2,794,356 as of 2021. The Greater Toronto Area (GTA) is constituted of Toronto proper and four surrounding regions, Peel, York, Durham, and Halton, and has a population of 6,712,341, while the Toronto census metropolitan area (CMA), with a somewhat different definition, has a population
Ontario is the southernmost province of Canada. Located in Central Canada, Ontario is the country's most populous province. As of the 2021 Canadian census, it is home to over 14 million people, which is 38.5% of the country's population. Ontario is the second-largest province by total area and the fourth-largest jurisdiction of all the Canadian provinces and territories. It is home to the nation's
Source: Wikipedia (state)
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