Job Description
Job details
Full Job Description
6 months, full-time | Switzerland
Who we are
We are pioneering the development of artificial intelligence and other technologies to augment and enhance the human ability to invent. Working with some of the world’s best-known technology companies in North America, Europe, and Japan, our technology enables the products of tomorrow to be invented faster and more efficiently than has previously been possible. Already, all 10 of the world’s largest tech companies including Amazon, Apple and Google reference granted patents based on our inventions.
Objective
Iprova’s technology enables the creation of inventions by identifying and connecting useful inventive signals from day-day social, market and technological advances – even if they are very distant to the target invention area. Consequently, we process large amounts of data every day. The overall objective of the project is to contribute to our infrastructure and plan and execute a large database migration in production.
Scope
The successful candidate would work with Iprova’s Platform Engineering team to:
- Help run and automate our devops operations on a kubernetes cluster
- Deploy an Elastic Search cluster and migrate tens of millions of documents to it.
- Adapt some of our python microservice code to query Elastic Search instead of Solr
Skills/Experience Required
- Familiar with Unix/Linux operating system
- Programming skills
- Some understanding of SQL and databases in general.
- Some understanding of Docker and containerized environments
- Eager to learn and interested in Kubernetes and scripting
- Fluent verbal and written English or French communication skills
Skills/Experience preferred
- Experience with CI/CD (Teamcity, Jenkins)
- Experience with frontend (web) development
- Experience with cloud computing platforms (Azure, AWS)
- Experience with Elastic stack (ELK) and Elastic products
- Knowledge of Python and Bash
What you will gain from this project
A chance to:
- Learn about state-of-the-art devops tools and best practices.
- Apply your technical skills on the latest tools and frameworks in the above technologies.
- Understand how to scale a database cluster and interface it with production-grade software development for ML applications in a microservice architecture.
- Practice your project management and communication skills.
- Make a valuable contribution to Iprova as well as develop your skills in the commercial world.
Application
If you are interested in this position please send us your CV and a letter detailing why you believe you are best suited for this project, to our email address recruitment@iprova.com. We look forward to hearing from you.
Please note:
During periods where we receive very high numbers of applications, we will only reply to those we wish to advance.
We will only use the information you give us for recruitment purposes. By submitting your details to apply for a position, you consent to have your personal details used to process the job application. We will treat the information in strict confidence.
Iprova is pioneering a data driven approach to innovation which is transforming the way physical science inventions are created. Our technology harnesses the real-time inventive power of the world’s information. As a result commercially relevant breakthrough inventions may be created with unprecedented speed, agility and efficiency. We enable our clients to set up their own data-driven invention labs, or can provide inventions on demand. The inventions created with our data-driven invention technology help define next generation products and services, growing our clients top line revenues. “Iprova has demonstrated that their technology will enhance BIC’s approach to inventing products that solve the needs of our consumers. That’s why we decided to bring their technology in-house, strengthening BIC’s R&D capability and creating a stream of disruptive and diverse inventions.” Thomas Brette, Group Insights and Innovation Officer at BIC. “Working with Iprova allows us to efficiently acquire disruptive, yet commercially relevant, inventions which support Panasonic’s business strategy and objectives in the automotive area" Yoshiaki Tokuda, Director of Intellectual Property Center, Panasonic Corporation "Iprova provides us with very interesting 'out of the box' inventions which are relevant to our business. These drive both new opportunities for research and the expansion of our patent portfolio." Philips Intellectual Property & Standards Bill Fischer, Professor of Innovation Management at IMD, commented: "....Iprova has been able to raise the probability of innovation payoff". Martin Jaggi, Tenure-Track Assistant Professor at the Machine Learning and Optimization Laboratory at EPFL, added: “The AI and machine learning methods of Iprova are state-of-the-art, and it is a great pleasure to collaborate with their very skilled and motivated development team on research projects jointly with EPFL”.