Data & ML Product Intern

Stage(4 à 6 mois)
Paris
Salaire : ≥ 1,5K € par mois
Début : 12 janvier 2025
Télétravail fréquent
Expérience : < 6 mois
Éducation : Bac +5 / Master

Monk AI
Monk AI

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Le poste

Descriptif du poste

Missions:

As a ML/data intern you will be joining the Monk Product and Business Team. Your missions will be :

  • Contribute to the prototyping of state-of-the-art damage detection approaches (multi-modality, proprietary datasets, adequate computing power,…)

  • Shape pitches, write specifications (user stories) for new features, or to improve existing ones

  • Work closely in a technical environment to frame, investigate and validate new features • Partner with all the Feature team’s stakeholders to ensure perfect alignment on problems to solve and how.

  • Work closely with business team and product team to make data driven analysis on core processes (data labelling, data capture, data ingestion…)

  • Build dashboard for C-level executives

  • Explore new product opportunities (Gen AI, multimodality, capture devices, automation…)


Profil recherché

Tech stack:

  • Databases: SQL, BigQuery

  • Languages: Python

  • ML (appreciated): Pytorch

Skills:

  • Technical knowledge in Python, API and dashboard.

  • Ability to manipulate large data volumes and produce efficient transformations.

  • Experience delivering complex projects involving scientists and engineers within tight time frames while meeting quality and cost targets.

  • Strong analytical and problem solving mindset.

  • Organizational and project management skills as well as the ability to multitask on various projects in a fast-paced environment.

  • Excellent written and verbal communication skills.

  • Fluency in spoken and written English.

Background:

  • Currently pursuing a Master’s Degree in Engineering with IT courses

  • Experience working in an enterprise technology setting (appreciated)


Déroulement des entretiens

Interview process:

  • Meet interview (30min)

  • Technical Interview + Test (1h)

  • Data product case + restitution (1h)

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