Machine Learning Research Engineer at Interdisciplinary Center Hi Paris

il y a 3 jours


Palaiseau, Île-de-France Ip Paris Temps plein
About the Role

We are seeking a highly skilled Research Engineer to join our Engineering Team at the Interdisciplinary Center Hi Paris. As a key member of our team, you will play a crucial role in advancing our research and innovation agenda in AI and data science.

Key Responsibilities
  • Research (70%)
    • Develop and deploy machine learning algorithms in various fields, including NLP, image, sound, signal, and economy.
    • Collaborate with professors and researchers from HEC Paris, IP Paris schools, and INRIA Saclay to ensure the practical research work.
    • Collect, build, and tailor large datasets for training machine learning models.
  • Education (10%)
    • Support teaching through the organization of student events, such as Hickathon, Summer School, and the Data Bootcamp.
  • Innovation (10%)
    • Support AI startups from HEC Paris or IP Paris schools on advising on AI models and infrastructure.
  • Society (10%)
    • Work on societal projects, such as collaborating with the association DataForGood.
Requirements
  • Knowledge
    • Data science knowledge
    • Knowledge of algorithmic processing
    • Mastery of AI model deployment (GitHub, GitHub Actions, Docker, MLFlow)
    • Proficiency in computer languages such as Python/C++/R and knowledge of machine learning tools (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
    • Autonomy, initiative, and adaptability
    • Responsiveness and curiosity
    • Professional rigor
About Us

IP 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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