Adding AI-powered analysis capabilities to Lifelancer platform

世界各地的劳动力市场和就业委员会没有跟上全球经济的快速变化，其效率低下造成了严重损失。数以百万计的人找不到工作，而从技术到医疗保健等行业都找不到人来填补空缺职位。对于雇主来说，传统的招聘方法既昂贵、缓慢又过时，而且无助于迅速将他们与合适的人才联系起来。对于人才来说，目前的方法（一般的工作板和在线平台）并不能很好地将他们与工作机会相匹配。人工智能驱动的和特定领域的技术平台有可能解决劳动力市场上的上述效率低下问题，并使流程比当前技术更快，更高效和准确50- 100倍。目前，在生命科学领域还没有解决上述问题的全球技术平台。Lifelancer正在构建第一个人工智能平台，用于生命科学和相关IT领域的人才招聘和技能提升。该项目将专注于分析基于文本的大质量数据，提取相关信息，构建评分矩阵和AI-ML建模。该项目将与TUV SUD国家工程实验室（NEL）的数字服务组合作完成。NEL的数字服务团队由经验丰富的专业人士组成，他们积极致力于开发，实施和基准测试最先进的机器学习算法，以建模和分析大量数据。在世界一流的设施和拥有600多个核心的最先进的内部HPC集群的支持下，NEL拥有计算能力和技术专长，可以为该项目进行人工智能分析。

Labor markets & job boards around the world have not kept pace with rapid shifts in the global economy, and their inefficiencies take a heavy toll. Millions of people cannot find work, yet sectors from technology to health care cannot find people to fill open positions.For employers, traditional recruiting methods are expensive, slow, and outdated, and are not helping to connect them with the right talent swiftly. For talent, current methods (general job boards & online platforms) do not match them with job opportunities very well.AI-powered & domain-specific tech platforms have the potential to address the above inefficiencies in the labor markets and make the processes 50-100X faster, more efficient & accurate compared to the current tech. At present, there is no global tech platform addressing the above in the life sciences.**Lifelancer is building the first AI-powered platform for talent hiring & upskilling in the life sciences & related IT domains.** The project would focus on analyzing large-quality of text-based data, extracting relevant information, building scoring matrices & AI-ML modeling.The project will be done in collaboration with Digital Services group at TUV SUD National Engineering Laboratory (NEL). Digital Services group at NEL consists of highly experienced professionals, who actively work on developing, implementing, and benchmarking state-of-the-art machine learning algorithms to model & analyze large volumes of data. Supported by both world-class facilities and a state-of-the-art internal HPC cluster with over 600 cores, NEL has the computational power and technical expertise for the AI-powered analysis for the project.