Détails de l'annonce
Référence:
214847
Publiée le:
4 février 2025
Lieu de travail:
Tunis, Tunisie
Expérience:
Entre 1 et 2 ans
Étude:
Bac + 5
Disponibilité:
Plein temps
Langues:
Anglais
Entreprise:
BINITNS
Secteur: consulting / étude / stratégie
Taille: Moins de 20 employés

Binit Nearshore Services est une société de Conseil et de Services dans le domaine de l’IT et du BPO métiers . Anciennement MISC fondée en 2008, société de conseil dans le domaine du Supply Chain et de l’IT, l’activité de l’entreprise est étendue en 2020 et MISC est devenue BinitNS.

Nous conseillons nos clients Européens sur leur stratégie dans nos domaines d’expertise en intervenant pour leur compte en Europe sur place ou à distance. Quand ils le souhaitent, nous les accompagnons dans l’installation d’équipes de proximité (Nearshore) en Tunisie.

Description de l'annonce:

Binit Nearshore Services (BinitNS) is a Consulting and Services company operating in the ITO and BPO areas. We advise our European Customers for their IT projects: From Business Process Digitalization to Infrastructure evolutions and Cloud migrations.

One of our clients is a technology start-up providing data acquisition, analytics, and reporting solutions for investors and asset services. Their software platform leverages machine intelligence techniques to automate the processing of unstructured and semi-structured documents, transforming them into actionable data for private market participants.

To support their growing needs, we are seeking a Machine Learning Engineer in Tunis to join our team and work closely with their engineering and product teams in London and Paris.

Your Missions:

  • Contribute to the development and maintenance of a document parsing stack using NLP, machine vision, and visual language models.
  • Monitor the stack in production, ensuring stability and resolving errors or inaccuracies in the pipeline.
  • Collaborate with product and client success teams to implement improvements based on client requirements.
  • Apply strong Python programming skills in various tasks.
  • Work in a dynamic startup environment, utilizing machine learning techniques and cloud-native technologies like Kubernetes and serverless infrastructure.

Your Qualifications:

  • Engineering degree in machine learning, data science, or a quantitative field (e.g., Physics, Statistics, Mathematics, Computer Science, Engineering) with at least 1 year of relevant experience with similar projects.
  • Excellent knowledge of Python.
  • Good command of the English language.

What We Offer:

  • A dynamic and collaborative work environment.
  • Competitive compensation and benefits package.
  • Opportunities to work on cutting-edge projects.

Starting Date: As soon as possible