About the job
“Transform every logistics journey into a remarkable experience”
Company Overview:
Established in 2014, Quincus is a pioneering B2B SaaS platform specializing in supply chain operations, with its headquarters in Singapore. Our mission is to tackle the pressing challenges of global supply chains through innovative technology. By leveraging AI and machine learning, we have revolutionized the logistics landscape, providing our clients with unparalleled transparency and efficiency in their supply chain operations.
Founded by two visionary entrepreneurs with over a decade of tech experience, Quincus is led by Chief Product Officer Katherina-Olivia Lacey, who champions a tech revolution while promoting women's empowerment within the supply chain sector. CEO Jonathan E. Savoir, recognized in Forbes' 30 Under 30 Asia List in 2020, also contributes to several startup boards, driving innovation forward.
Role Overview:
Quincus Research is at the forefront of developing the next generation of intelligent systems for our suite of products. We are seeking a highly motivated and skilled Machine Learning Engineer to join our dynamic team. You will play a pivotal role in designing and deploying deep learning and reinforcement learning algorithms at scale. Your expertise will be essential in creating scalable systems for model serving, optimizing inference performance, and managing production workflows.
Key Responsibilities:
- Design and implement scalable systems for deploying deep learning and reinforcement learning models.
- Optimize the inference performance of models through advanced techniques like quantization, pruning, and distillation.
- Leverage GPU computing to enhance model training and inference efficiency.
- Develop and manage production workflows for the training and deployment of machine learning models.
- Collaborate cross-functionally with data scientists and software engineers to create effective machine learning systems.
- Monitor and enhance the performance of machine learning models in production.
- Stay abreast of the latest advancements in deep learning and reinforcement learning methodologies.
