Deadline:
As soon as possible
Location(s)
France
Paris 13e
Overview
Details
We are looking for Auto ML / MLOps Intern to help extend and scale-up ArcaScience’s data science and management infrastructure ASTk. ASTk is a suite of libraries for NLP and AI models for an end-to-end processing and analysis of heterogeneous biomedical data on a large scale.
You should have an engaged personality, used to work proactively and you are passionate about your work. You enjoy broadening your horizon in order to master new technologies and like to expand your skills continuously.
Core responsibilities (you will be)
- Assessing the requirements of state of the art Deep Learning models for text classification and information extraction
- Piloting the fine-tuning and the selection of best Deep Learning models for each task
- Automating the training and selection of newly incrementally trained DL models
- Automating the deployment of ML/DL models in test and production environments
- Scaling-up the performance and execution of NLP modules and ML/DL models in production
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Desired profile
Requirements & Qualifications (you have)
- Teamwork spirit
- Decent English. A Fluent French is a great plus
- Experience with Python and/or Java languages
- Knowledge of machine learning technologies and platforms (e.g., Spacy, Pytorch, Tensorflow..)
- Experience with ML and DL models, feature engineering and hyper parameter tuning
- Basic usage of source control technology: Git, github and gitlab
Plusses (would be nice, if you have)
- Familiarity with Natural Language Processing topics (e.g., pos tagging, named entity recognition, entity linking, text classification)
- Knowledge of RESTful / gRPC architectures and implementations
- Familiarity with Scala language
- Open science culture
- Entrepreneurial culture
- Availability for afterwork drinks
Dates
Deadline: As soon as possible
Cost/funding for participants
Advantages (what we do offer)
You will be working in a dynamic environment with
- R&D driven engineering: working on cutting-edge AI technologies to accelerate finding, improving and comparing cures and vaccines
- Dynamic issues: pushing the limit of your knowledge with constantly new challenges
- Interdisciplinary co-workers: engineers, scientists, biologists..
- Talented PhDs and engineers
- Young and multicultural team
- Flexible working hours with the possibility to work from home
- Rewarding remuneration: depending on your profile, your engagement and efficiency
Un-save Opportunity
Internships, scholarships, student conferences and competitions.
