机器学习工程师
Machine Learning Engineer
“让每一次物流旅程都成为最好的一次”
公司简介。
Quincus成立于2014年，是一家总部位于新加坡的B2B供应链运营SaaS平台。我们通过突破性的技术解决当今全球供应链的挑战。利用人工智能和机器学习，我们已将物流流程数字化并优化，同时为客户提供对其供应链的全面透明度。
Quincus由两位有远见的企业家创立，他们在科技领域拥有超过十年的经验。首席产品官Katherina-Olivia Lacey正在这一领域引领技术革命，并推动供应链行业中的女性发展。首席执行官Jonathan E. Savoir曾入选2020年福布斯亚洲30岁以下精英榜，并担任多家初创公司的董事会成员。
概述。
Quincus Research正在为所有Quincus产品构建下一代智能系统。为了实现这一目标，我们正在开展利用由经验丰富的软件工程师和研究科学家开发的最新计算机科学技术的项目。Quincus Research团队与其他团队紧密合作，保持灵活性和适应性，以满足快速变化的商业需求。
职位概述。
我们正在寻找一位高度积极且经验丰富的机器学习工程师加入我们的团队，帮助我们大规模开发和部署深度学习和强化学习算法。作为机器学习工程师，您将负责设计和实现用于服务模型的可扩展系统，优化推理性能，并管理生产工作流。
职责：
- 设计并实现用于服务深度学习和强化学习模型的可扩展系统。
- 使用量化、剪枝和蒸馏等技术优化深度学习和强化学习模型的推理性能。
- 利用GPU计算加速模型训练和推理。
- 开发和部署用于训练和提供机器学习模型的生产工作流。
- 与数据科学家和软件工程师合作，设计和实现机器学习系统。
- 监控并提升生产环境中机器学习模型的性能。
- 跟踪深度学习和强化学习领域的最新研究和技术。
资格要求：
- 计算机科学、电气工程等相关专业的学士或硕士学位，
查看英文原文
“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.
Originally posted on Himalayas