Software Engineer Intern
2 weeks ago
Job Description:
- Data Science & AI Department, under the Tech Division, leads the transformation of Rakuten by commercialization of Artificial Intelligence, Cognitive Computing and Machine Intelligence Technologies for Rakuten businesses.
With access to Rakuten’s ecosystem of more than 70 services, global businesses and technology expertise across Asia, Europe and the Americas, AI Solutions Incubation Section goal is to ideate, develop and provide transformative AI products in the fields of Commerce, Financial Services, Marketing and other Rakuten focus areas.
- AI Solutions Incubation Section accelerates the adoption and impact of AI ML technologies via utilizing billions of consumer and industry data points accumulated within Rakuten’s ecosystem.
Roles & Responsibilities:
- Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.Stay current with AI/ML trends and research-
- Strong bias for action; ability to juggle multiple priorities and build a sense of urgency in a dynamic environment**Experience**:
Clear understanding of workflow and pipeline architecture of ML and deep learning workloads-
- 1-3+ years of architecture, design, implementation, and/or support of cloud technologies and platforms-
- Knowledge of architecting solutions with ML scientists, and engineering deploying most state of the art models in production.-
- Working experience with common techniques for analyzing data using advanced analytics tooling (Python, Tensorflow and Pytorch etc.)-
- In addition to the technical skills they need to possess, applicants must also have adept understanding of the various phases of the Software Development Life Cycle and familiarity using Source Code and Version Control systems like SVN, Git, Bitbucket, Slack and JIRA etc. and CI and CD testing tools like Jenkins etc. They must also be proficient with Hadoop ecosystem and architecture components-
- Design, and develop APIs and Microservices to ensure quality, security, reliability, scalability (up and out), extensibility, testability, supportability, fault tolerance.-
- Solid knowledge of microservices, build and deployment concepts.
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