Machine Learning Research Engineer at the Interdisciplinary Center Hi PARIS
il y a 3 semaines
The incumbent assumes the role of a machine learning research engineer within the Hi PARIS' Engineering Team.
As Hi PARIS acts on 4 pillars: Research, Education, Innovation, and Society, the research engineer is required to work in the following proportions: 70% Research, 10% Education, 10% Innovation, and 10% Society. Work locations are at the Institut Polytechnique de Paris and the HEC Paris Campus.
Main missions:
- Research (70%)
- Development of machine learning algorithms in various fields (NLP, Image, Sound, Signal, Economy, ...) and Python packages (e.g., scikit-network, python optimal transport, ...).
- Deployment of models on GitHub as a package or on Hugging Face.
- Use of scientific computing infrastructure and software.
- Collect, build, and tailor large datasets for training machine learning models.
- Ensure practical research work in collaboration with professors and researchers from HEC Paris, IP Paris schools, and INRIA Saclay.
- Education (10%)
- Support for teaching through the organization of student events: Hickathon, Summer School, and the Data Bootcamp.
- Innovation (10%)
- Support AI Startups from HEC Paris or Institut Polytechnique de Paris by advising on AI models and infrastructure.
- Society (10%)
- Every team member can dedicate 10% of their time to working on societal projects such as collaborating with the association DataForGood.
Actively participate in the life of the Engineering Team of the Hi PARIS Center.
Preferences:
An AI engineer with knowledge of model deployment and past startup experience, putting models into production.
Key interactions with:
- The engineers at the Hi PARIS Center.
- The Manager of the Hi PARIS Engineering Team.
- Professors and researchers benefiting from the support of the Centre's engineering unit.
- The Centre's operational management.
- Some members of the Academic Operational Committee and some sponsors depending on the activities on which the unit is mobilized.
Skills:
Knowledge:
- Data Science Knowledge.
- Knowledge of algorithmic processing.
- Mastery of AI model deployment (GitHub, GitHub Actions, Docker, MLFlow).
- Proficiency in programming languages such as Python/C++/R and knowledge of tools used in machine learning (Scikit-learn, TensorFlow, Keras, PyTorch ...).
- Professional experience in software development (ideally in data science).
- Fluency in French and English, written and oral.
- Knowledge of a technology sector, ideally related to artificial intelligence and data.
- Appetite for teaching data science and pedagogy.
- Data Engineering best practices.
Know-how:
- Rigorous organizational skills.
- Ability to work effectively in a team.
- Writing skills.
- Ability to anticipate, prioritize, and plan actions.
- Analyze, synthesize, and transmit information.
Interpersonal skills:
- Ability to listen and dialogue with a wide variety of interlocutors (e.g., Professors-researchers, PhD students, Engineers from HEC Paris and IP Paris schools).
- Autonomy, initiative, and adaptability.
- Responsiveness and curiosity.
- Professional rigor.
Date of taking desired position: As soon as possible.
Employment contract: 3-year fixed-term contract (renewable) - public law contract, Category A.
Institut Polytechnique de Paris is committed to recruitment that promotes equality, diversity, and inclusion. All applications are considered without distinction. All our positions are accessible to people with disabilities.
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Palaiseau, Île-de-France Institut Polytechnique de Paris Temps pleinThe incumbent assumes the role of a machine learning research engineer within the Hi PARIS' Engineering Team.As Hi PARIS acts on 4 pillars: Research, Education, Innovation and Society, the research engineer is required to work in the following proportions 70% Research 10% Education, 10% Innovation 10% Society. Work locations are at the Institut Polytechnique...
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