※Japanese Follows English Team lead (manager) position of a software engineering team in a highly-growing startup, developing a document IDE for non-engineers. About BoostDraft BoostDraft is a software engineering company that develops IDE for documents. It
We support peace and prosperity by building connections, understanding and trust between people in the UK and countries worldwide. We work directly with individuals to help them gain the skills, confidence and connections to transform their
We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests,
We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests,
We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests,
The Windows and Web Experiences Japan team needs strong engineers to apply the cutting edge of artificial intelligence and deep learning technologies to solve some challenging business problems for Bing and Microsoft Start. Specifically, the team
Minimum qualifications: Bachelors degree or equivalent practical experience. 7 years of experience in low-level software engineering (e.g., memory allocators, performance optimization, C++, operation systems). 2 years of experience in people management. Preferred qualifications: Masters degree or
Minimum qualifications: Bachelors degree in Computer Science, a related technical field, or equivalent practical experience. 10 years of experience in software engineering, with web services or mobile client software. Experience with software development in one or more
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Key responsibilities of the role To maintain ground-breaking propositions for L&H Solutions and support the next wave of client growth with our SaaS offerings, we are looking for a client solution architect in Japan who is
* At the front line of communication with stakeholders at hospital sites / clinics, youll manage clinical aspects of full-service global trial projects. Your responsibilities will include ensuring timelines, targets, and standards are met for clinical
About the company We are an early-stage (Seed secured) Crypto AI startup that aims to monetize scientific research, datasets and other kinds of IP through marketplaces tailored to AI companies that seek to acquire quality data
【Responsibilities】: Play an important role in capturing/understanding existing business process and implement successful AI Solutions that make an impact on the process Responsible for bridging the gap between IT and the business, developing the business case,
【Responsibilities】: Play an important role in capturing/understanding existing business process and implement successful AI Solutions that make an impact on the process Responsible for bridging the gap between IT and the business, developing the business case,
【Responsibilities】: Play an important role in capturing/understanding existing business process and implement successful AI Solutions that make an impact on the process Responsible for bridging the gap between IT and the business, developing the business case,
DevOps Engineer II Introduction Edgecortix Inc. is seeking strong software engineers to work as part of our deep-learning compiler team. If you have a strong desire to build next-generation AI chips and systems, join us, and
Introduction Edgecortix Inc. is seeking strong software engineers to work as part of our deep-learning compiler team. If you have a strong desire to build next-generation AI chips and systems, join us, and lets reshape the
【Responsibilities】: Envision, build, deploy and operationalize an end-to-end machine learning (ML) and AI pipeline Build a robust enterprise wide architecture for AI and collaborate with data scientists, data engineers, developers, operations and security Perform the following
