Applied AI, Forward Deployed Machine Learning Engineer
Mistral AI2 months ago
Munich, GermanyMid Level
Responsibilities
- Deploy AI use cases into production across varied industries with significant business impact.
- Develop state-of-the-art generative AI applications, including complex LLM fine-tuning, advanced RAG, and agentic use cases.
- Collaborate with researchers, AI engineers, product engineers, and science teams on complex customer projects.
- Contribute to open-source codebases for inference and fine-tuning.
- Participate in pre-sales calls, understand customer needs, and provide technical guidance on Mistral products and technologies.
- Use customer feedback to improve product and model capabilities.
Requirements
- Fluent English communication.
- At least 2 years of experience as a technical individual contributor, such as a data scientist or software engineer, working on AI-based products.
- Experience implementing AI or machine learning products using APIs, back-end interfaces, and front-end interfaces.
- Experience fine-tuning LLMs and addressing advanced RAG or agentic use cases.
- Deep understanding of machine learning and LLM concepts and algorithms.
- Strong coding skills in Python.
- Ability to explain complex technical concepts to technical and non-technical audiences.
- Preferred: contributions to open-source projects, particularly in LLMs.
- Preferred: experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager.
- Preferred: deep-learning experience with PyTorch.
Benefits
- Healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, and meal and transportation allowances may be available depending on location.
- Benefits vary by country and location-specific details are provided through the company Benefits page.
About Mistral AI
Mistral AI builds foundation language models and full‑stack AI solutions for enterprises, offering APIs, on‑prem deployment, developer tools, and applications. The privately held company, founded in 2023 and headquartered in Paris, partners with organizations in finance, manufacturing, defense, healthcare, and the public sector to co‑create customized systems. It releases open‑source models alongside commercial offerings and makes its models available through major cloud marketplaces.