Applied AI, Forward Deployed Machine Learning Engineer - Montreal
Montreal • Full-time
Posted 4mo ago
Job Location
Montreal
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Applied AI Engineer
About the job
Mistral AI is seeking an Applied AI Engineer to join their team and facilitate customer adoption of their AI products. This role involves collaborating closely with customers to address complex technical challenges, from pre-sale to post-implementation, ensuring solutions meet and exceed client expectations. You will manage daily customer relations, act as a key resource for externalizing research into production, and work on state-of-the-art Generative AI applications across various industries. This position offers the opportunity to contribute to a pioneering company shaping the future of AI and make a meaningful impact.
Responsibilities
- Onboard customers onto products and APIs, providing guidance on prompting, evaluation, and fine-tuning.
- Ensure optimal production integration with back-end and front-end interfaces.
- Work on state-of-the-art GenAI applications for consumer products and industrial use cases.
- Deploy into production use cases with significant business impact across various industries.
- Collaborate with researchers, AI engineers, and product engineers on complex customer projects.
- Contribute to open-source codebases for tasks like inference and fine-tuning.
- Participate in pre-sales calls to understand client needs and provide technical guidance.
- Collaborate with product and science teams to improve product and model capabilities based on customer feedback.
Requirements
- Fluent in English and French.
- PhD or Master's degree in AI or Data Science.
- 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
- Experience in fine-tuning LLMs, tackling advanced RAG or agentic use cases.
- Deep understanding of machine learning and LLM concepts and algorithms.
- Experience building and deploying LLMs or NLP applications.
- Proven experience in AI or machine learning product implementation with APIs, back-end, and front-end interfaces.
- Strong technical coding skills in Python.
- Experience with deep learning using PyTorch.
- Experience with agent frameworks like Langchain and vector databases.
- Strong communication skills to explain complex technical concepts to diverse audiences.
Benefits
- Competitive salary
- Generous Equity
- Health insurance (Sun Life)
- Pension matching up to 6%
- 25 days PTO
- Transportation allowance (public transport or parking reimbursement)
- Coaching (Betterup)
- Sport reimbursement (145 CAD/month for gym membership)
- Meal stipend (480 CAD monthly allowance)