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Stage Machine Learning

La Javaness

Paris · flexible Internship Entry Level 1w ago

About the role

About Our Lab

Integrated into our Data Lab, composed of about twenty Machine Learning experts, your activities will focus on several main areas:

Responsibilities

  • Undertake missions with real client data, where you can quickly gain responsibility.
  • Conduct R&D on the technological and scientific state-of-the-art in machine learning methods to improve internal tools.
  • Participate in weekly data meetings where everyone shares their latest advancements and discoveries.
  • Collaborate with other departments (IT, Design, Business...) to imagine complete and innovative solutions that meet client needs.
  • Work closely with clients, advising them directly and designing the product that will meet their expectations.

Requirements

Coming from a background in Data Science, Computer Science, Mathematics, or a path where you have acquired the sought-after skills, you have good knowledge of Machine Learning algorithms. You must also be curious and stay updated on the latest technological advancements in the field. Personal projects and/or participation in Kaggle competitions will attest to this interest.

Solid knowledge of Python and good command of its Machine Learning libraries (pandas, scikit-learn, etc.) are mandatory. Proficiency in one or more Deep Learning frameworks (Keras, Pytorch...) is a real plus.

Mandatory Skills:

  • Python
  • Machine Learning / Deep Learning

Appreciated Skills:

  • Pedagogy, simplification of technical concepts
  • Synthesis skills
  • Big Data ecosystem (Hadoop, Spark)
  • Software and web programming

Format: Internship of 4 to 6 months, preferably at the end of studies.

Benefits

  • Meal voucher bonus paid monthly at €98 net.
  • Choice between: Full coverage of your Navigo pass, or a sustainable mobility bonus of €500/year paid monthly.
  • Free weekly online sports classes for everyone.
  • Flexible remote work for everyone.
  • Internal knowledge sharing: every Friday afternoon, a "presentation session" is organized by a collaborator on a topic they wish to share with everyone.
  • Choice between: a Mac, Linux, or Windows computer based on your preferences and skills.
  • Premises located in the center of Paris (10th arrondissement), with a great terrace to enjoy the summer.
  • After-work drinks, seminars, shared lunches, and other festivities several times a year.

Skills

Deep LearningHadoopKerasLinuxMachine LearningMacPandasPytorchPythonScikit-learnSparkWindows

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