Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will collaborate closely with customers to implement AI solutions, tackle complex technical challenges, and develop advanced ML applications, including fine-tuning LLMs.
Job Technologies
Your role in the team
- Mistral AI is seeking an 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 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.
- 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, and 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 for tasks such as inference and fine-tuning.
- You will 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 continuously improve our product and model capabilities based on customers' feedback.
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Our expectations of you
Qualifications
- You are fluent in English.
- You have a deep understanding of the 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, particularly in the field of LLMs.
Experience
- 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.
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.
- You have experience with deep learning with Pytorch.
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What we offer
- You'll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions.
- If you're excited about leading technical innovation and solving real-world challenges with AI, we'd love to hear from you!
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Topics that you deal with on the job
Job Locations
This is your employer
Mistral Ai
Mistral AI is a French AI startup based in Paris, founded in 2023. It provides a comprehensive AI platform with powerful models and applications tailored to the needs of businesses and public institutions. Additionally, Mistral AI has an official location in Linz, Austria, following the acquisition of the startup Emmi AI.
Description
- Company Type
- Startup
- Working Model
- Onsite
- Industry
- Internet, IT, Telecommunication
Applied AI, Forward Deployed Machine Learning Engineer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
