Détails de l'annonce
Référence
214847
Date de publication
19 février 2025
Lieu de travail
Tunis, Tunisie
Expérience requise
Entre 1 et 2 ans
Niveau d'études
Bac + 5
Disponibilité
Plein temps
Langues
Anglais
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Entreprise

BINITNS
Secteur: consulting / étude / stratégie
Taille: Moins de 20 employés
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