Job Description

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.

In this context, we are hiring a Junior Machine Learning Engineer to contribute to the development and maintenance of a data science-driven document parsing stack. This is a unique opportunity to work in a dynamic, fast-paced startup environment applying advanced machine learning techniques such as Natural Language Processing (NLP), machine vision, and large language models (LLMs) within cloud-native architecture.

The ideal candidate is passionate about applied machine learning and eager to contribute to a production-grade AI system running on Kubernetes and serverless infrastructure.

Your Missions:

• Monitor and troubleshoot the data science stack running in production
• Investigate issues and propose solutions to improve reliability and accuracy
• Collaborate with product and client success teams to implement tactical improvements based on user feedback
• Contribute to the development of ML models for document parsing and information extraction
• Work on retrieval-augmented generation (RAG) pipelines and LLM-based architecture
• Participate in model evaluation and optimization for performance and scalability

Your Qualifications:

• An Engineering or Master’s degree in Data Science
• Strong proficiency in Python for machine learning, scripting, and automation
• Foundational understanding of machine learning, NLP, and computer vision concepts
• Exposure to cloud platforms (e.g., AWS), containers (e.g., Docker), and orchestration (e.g., Kubernetes) is a plus
• Curiosity, problem-solving mindset, and willingness to learn in a collaborative environment
• Excellent communication skills in English

What You Will Learn:

• Hands-on experience with cloud-native machine learning workflows
• Real-world application of NLP, LLMs, and visual language models in production
• Best practices in building reliable, scalable AI systems
• Collaboration with cross-functional international teams in a data-driven startup

Starting Date: As soon as possible
Location: Tunisia
Perks: An amazing work environment and a highly competitive package

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