As a data science and machine learning engineering intern at Datakeen, you'll have the chance to take on some exciting challenges. You'll be working hand in hand with our crack team to take on new challenges on innovative and promising issues at the heart of Artificial Intelligence.
Improving and changing the world by bringing the best of ethical Artificial Intelligence technology to the greatest number of people, streamlining user experiences and enabling employees in companies and organizations to achieve operational excellence.
We democratize artificial intelligence to bring its benefits to human beings: users and employees of companies, and to work towards improving relations between companies and human beings, as well as revaluing human work and restoring meaning to work.
Datakeen is the publisher of a platform of Artificial Intelligence solutions. We offer several solutions:
- IDify is an identity verification solution that optimizes the customer experience by offering live authentication and registration of identity documents.
- VerifIA is a universal document classification and verification solution that recognizes all types of documents and extracts information of interest.
- AnswerIA is a solution for suggesting automatic responses to customer reviews, e-mails and complaints. The solution offers intelligent, contextualized and rapid responses.
- Vision by Datakeen is a product and object identification and counting solution for smart warehouses and smart cities.
- You will join our Data Science - Projects x R&D team to implement and optimize learning models within our software suite to meet our customers' expectations.
- You'll be supported by senior data scientists who are experts in their field, as well as research professors at the MVA (ENS Cachan).
- You'll be working locally (Jupyter Notebook) as well as on GPU-based compute servers for model training.
- You will follow and contribute to the Datakeen methodology: setting up performance indicators and a model report to document your research, trials and tests in order to converge on the optimum solution.
Student in final year of an engineering school, specializing in AI or ML.
Experience in data science essential.
Proficiency in the following languages: Python, Bash (plus).
Good development practices: versioning (git), testing.
Good knowledge of Scikit Learn, Tensorflow, Pytorch frameworks.
Passionate about data science and applied statistics.
Proactive, good analytical and organizational skills.
Experience in designing or contributing to a data science tool: platform, package, library is a plus.
- You'll be working with the latest technologies and paradigms in machine learning, in particular on images, text and structured data, applied to exciting new uses.
- You're at the heart of an exciting technological and business adventure, extremely useful if you're interested in data and AI entrepreneurship
- Telecommuting up to 3 days / week
- Luncheon vouchers
- Team activities once a month
