
Applied AI, Forward Deployed Machine Learning Engineer
About this role
Mistral AI is seeking an Applied AI Engineer in Montréal to help customers adopt full-stack AI solutions and tackle complex technical challenges. This full-time position suits experienced data scientists or software engineers with a background in machine learning who enjoy client-facing technical work.
Role Overview
The Applied AI Engineer joins the Applied AI Engineering team to drive the successful deployment of Mistral AI products. This professional works closely with customers from the initial pre-sale stage through post-implementation. Daily responsibilities include managing relations with diverse stakeholders such as CEOs, CTOs, data scientists, and software engineers while bringing research into production environments.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Mistral AI delivers full-stack artificial intelligence solutions ranging from frontier models to developer tools, applications, and compute. The organization collaborates with enterprises operating in high-stakes sectors like finance, manufacturing, defense, healthcare, and the public sector to co-create custom AI systems. Known for a creative, low-ego, and team-spirited culture, the workforce is distributed globally across Europe, North America, Asia, and the Middle East.
How to Apply
Interested candidates should visit the official Mistral AI careers page on mistral.ai to submit their application for this Montréal-based opportunity.
Skills and tech stack
Questions candidates ask
What language proficiency is required for this role?
Candidates must be fluent in both English and French.
What educational background do I need?
Applicants must hold a PhD or Master's degree in AI or data science.
How many years of experience are required?
The position requires a minimum of 2 years of experience as a technical individual contributor working on AI-based products as a data scientist or software engineer.
Where is this position located?
This role is based in Montréal within the Solutions department.
What technical skills are central to the job?
Key technical skills include Python, PyTorch, LLM fine-tuning, advanced RAG, agent frameworks like LangChain, and vector databases.