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- Tasks: Drive AI product adoption and tackle complex technical challenges with customers.
- Company: Mistral AI, a leader in innovative AI solutions.
- Benefits: Shape the future of AI, work with a world-class team, and contribute to impactful open-source projects.
- Why this job: Lead technical innovation and solve real-world challenges with cutting-edge AI technology.
- Qualifications: 2+ years in AI or machine learning, strong Python skills, and excellent communication.
- Other info: Dynamic role with opportunities for growth and collaboration across industries.
The predicted salary is between 36000 - 60000 £ per year.
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, Forward Deployed Machine Learning Engineer will be an integral part of our Applied AI team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprise use-cases. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.
In this role, you will manage customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.
What you will do:
- You will individually help deploy into production use cases with a considerable business impact across various industries.
- You will work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
- You will collaborate 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 will improve continuously our product and model capabilities based on customers' feedback.
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 a 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 to technical and non-technical audiences.
Ideally you have:
- Contributed to open-source projects, particularly 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.
Why join us?
You will 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 are excited about leading technical innovation and solving real-world challenges with AI, we would love to hear from you!
Applied AI, Forward Deployed Machine Learning Engineer - EMEA in London employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI, Forward Deployed Machine Learning Engineer - EMEA in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and machine learning space. Attend meetups, webinars, or even just chat with people on LinkedIn. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI deployment. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Mistral AI.
We think you need these skills to ace Applied AI, Forward Deployed Machine Learning Engineer - EMEA in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Applied AI Engineer role. Highlight your technical expertise in AI, machine learning, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for Mistral AI. Don’t forget to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: Since this role involves complex technical challenges, be sure to highlight your coding skills, especially in Python. If you've contributed to open-source projects or have experience with LLMs, make that known! We love seeing practical examples of your work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Mistral AI!
How to prepare for a job interview at Mistral AI
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts, especially around LLMs and fine-tuning. Be ready to discuss specific projects you've worked on and how they relate to the role.
✨Showcase Your Communication Skills
Since you'll be dealing with various stakeholders, practice explaining complex technical concepts in simple terms. Think about how you can convey your ideas clearly to both technical and non-technical audiences.
✨Prepare for Real-World Scenarios
Expect to tackle some practical problems during the interview. Prepare examples of how you've deployed AI solutions in production settings and be ready to discuss the impact of those projects.
✨Engage with Their Vision
Research Mistral AI's products and their applications. Show genuine interest in their mission and be prepared to discuss how you can contribute to their goals, especially in driving technological transformation for clients.