Data Scientist / Scientifique des données – LLM, RAG, Applied AI / IA appliquée

Data Scientist

Professional working proficiency in English is required; proficiency in French is an asset.

Mind in a Box is looking for a Data Scientist with strong expertise in Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP) to support a growing pipeline of applied AI projects.

You will work on real-world, production-grade AI systems deployed in data-intensive, regulated, and mission-critical environments, where reliability, security, and operational constraints matter as much as model performance. Our solutions are designed to integrate with diverse enterprise ecosystems and technology stacks, with a strong emphasis on the Microsoft ecosystem (Azure, data platforms, and AI services) in the context of certain client engagements, while requiring solid vendor-agnostic fundamentals, sound engineering judgment, and the ability to design portable and scalable AI architectures.

About Mind in a Box

Mind in a Box delivers turnkey hybrid analytics and AI infrastructures via a ready-to-use Equipment-as-a-Service (EaaS) model that accelerates DataOps , MLOps , NetOps / SecOps , and advanced analytics from experimentation to production. Serving customers on three continents and including multiple Scale AI projects, we integrate open, flexible solutions across cloud, edge, and on-premises environments.

Mind in a Box is a spin-off of Inmind Technologies Inc. , a recognized leader and Microsoft Solutions Partner in Enterprise Management Systems. We focus on data intelligence, cybersecurity & data governance, IoT / AIoT and industry 4.0 .

We are a small, agile team where technical excellence and collaboration drive impact.

Role overview

As a Data Scientist, you will :

• Design, develop, and optimize LLM-based and RAG-driven solutions
• Work on NLP pipelines applied to enterprise and operational data
• Contribute to model evaluation, validation, and observability in production contexts
• Collaborate closely with DataOps, MLOps, and infrastructure specialists
• Translate business and operational requirements into robust AI solutions
• Communicate insights and limitations clearly to technical and non-technical stakeholders

This is a full-time, remote role , with the requirement to be based in Québec .

Core qualifications (must-have)

Technical skills (highly valued)

Profile & mindset

Greater Montreal Metropolitan Area CA$55,000.00-CA$75,000.00

Referrals increase your chances of interviewing at Mind in a Box by 2x

#J-18808-Ljbffr