Data Science Internship

  • Intern

Company Description

Makezu is a young Parisian start-up founded in November 2019, we develop a platform allowing our users (mainly companies) to manage communication campaigns on social networks. Our tool identifies in real time needs expressed by individuals and sends them personalized messages.

Job Description

Our intern will integrate a small team working to improve the API and evolve artificial intelligence algorithms whose objective is to detect the needs expressed directly or indirectly on Twitter and other social platforms, the key moments of life and the interests of consumers who express themselves publicly in English and|or French.

Our intern will be led to:

  • Enrich | improve existing approaches, POS (part-of-speech) tagging and SD (syntactic Dependency) parsing
  • Covering technology watch on topics related to automatic language processing.
  • Synthesize the data collected by the campaigns in progress.
  • Perform profile analysis.
  • Propose new key life moments
  • Integrate an intelligent text generation tool for personalized messages.
  • Intervene on the web application hosted on the Amazon cloud (AWS)

Our application is full python coded using the Flask web framework. Data recording is done on AWS NoSQL database services (DynamoDB).

Qualifications

We are looking for a student in the fields of data processing, machine learning, applied mathematics, artificial intelligence, or any relevant background, who wishes to fully invest in an innovative project based on A.I..
We highly appreciate profile that take responsibilities in terms of technological recommendations (architecture, participate in the future roadmap concerning the development of new functionalities).

  • Totally autonomous
  • Advanced skills in coding, algorithms, machine learning or similar digital technologies wishing to take up challenges in prototyping and development of web applications.
  • Mastery of python libraries in sklearn, pandas, numpy data processing.
  • A knowledge of NLP libraries (spaCy, NLTK, GloVe,...) and tensor managers for deep learning (PyTorch, TensorFlow) would be a plus.
  • Strength of proposal, good understanding of business expectations

We train him in #nocode tools (10-day learning curve) for a total mastery of the Makezu tech chain. This is the opportunity to publish a clean webapp feature from end to end.

Additional Information

Technos tags: #NLP, #deeplearning, #machinelearning , #python #node