Mistral· Solutions· Paris
Applied AI, Forward Deployed Machine Learning Engineer - EMEA
Classified Tasks (12)
Automate 0%Augment 67%Human-Only 33%
Augment (8)
AI assists, human decides
Facilitate adoption of Mistral products among customers
communication
Collaborate with customers to address complex technical challenges
technical
Deploy AI solutions into production for use cases generating measurable business impact across industries
technical
Design and implement state-of-the-art generative AI applications across consumer and industrial use cases in partnership with customers
technical
Collaborate with researchers and engineering teams to implement complex fine-tuning and state-of-the-art LLM applications for customer projects
technical
Contribute code to open-source repositories for inference and fine-tuning workflows
technical
Provide technical guidance on Mistral products and present technical explanations to technical and non-technical stakeholders
communication
Collaborate with product and science teams to iterate and improve products and model capabilities using customer feedback
analytical
Human-Only (4)
Requires human judgment
Guide enterprise clients from pre-sales through implementation to deploy AI solutions that deliver measurable business impact
leadership
Participate in pre-sales calls to assess potential clients' technical needs, challenges, and objectives
communication
Translate cutting-edge AI research into robust, scalable enterprise solutions aligned with customer needs and company vision
technical
Own end-to-end project execution for customer engagements, including design, implementation, deployment, and post-deployment support
leadership
Job description
About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. What you will do - You’ll individually help deploy into production use cases with a considerable business impact across various industries. - You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. About you - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: - Contributed to open-source projects in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager - You have experience with deep learning with Pytorch