Working closely with data science team researching on the latest technologies and state of the art AI and computer vision models with the goal of importing them into manufacturing industry.
Understand business requirements and develop AI driven solutions addressing those requirements.
Help with data collection from various automated and manual processes.
Analyze structured and unstructured data from various data sources, clean data, transform raw data into business insights by building ETL pipelines and visualization dashboards.
系统翻译:
与数据科学团队密切合作,研究最新技术以及最先进的人工智能和计算机视觉模型,目标是将它们导入制造业。
了解业务需求并开发满足这些需求的人工智能驱动的解决方案。
帮助通过从各种自动和手动流程收集数据。
通过构建 ETL 管道和可视化仪表板分析来自各种数据源的结构化和非结构化数据、清理数据、将原始数据转换为业务见解。
2-5+ years of experience in machine learning, data analysis and data visualization Education in engineering or analytical fields, Master degree is preferred Possesses a strong foundation in programming languages like python and common data analysis packages (Tensorflow, Pytorch, etc.) Has a working knowledge of computer vision techniques applicable to manufacturing, such as image classification (e.g., convolutional neural networks
– CNNs), and object detection (e.g., YOLO models).
Tech-savvy, autonomous, eager to learn, comfortable working in fast paced environments.
系统翻译:
2-5年以上机器学习、数据分析和数据可视化经验 工程或分析领域教育,硕士学位优先 拥有Python等编程语言和常用数据分析包(Tensorflow、Pytorch等)的扎实基础适用于制造的计算机视觉技术的应用知识,例如图像分类(例如,卷积神经网络
– CNN)和对象检测(例如 YOLO 模型)。
精通技术、自主、渴望学习,在快节奏的环境中舒适地工作。