# Applied AI, Machine Learning Engineer

**Company**: Mistral AI
**Location**: Seoul
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q119718658

**Apply**: https://jobs.lever.co/mistral/e6accd7d-27d5-45f0-9f35-3454064374af?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d7d8b4c1-140

## Description

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 Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.

Responsibilities:

- Onboard customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.

- Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.

- Individually help deploy into production use cases with a considerable business impact across various industries.

- Collaborate with researchers, other AI engineers, product engineers on complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to open-source codebases.

- Participate in pre-sales calls to understand potential clients' needs, challenges, and aspirations, and provide technical guidance on our products.

Requirements:

- Fluent in English and Korean

- PhD/master in AI/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 concepts and algorithms underlying machine learning and LLMs

- Experienced with 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 with Pytorch

- Experience with agents framework such as Langchain, vector DBs

## Skills

### Required
- Python
- Pytorch
- LLMs
- Fine Tuning
- Machine Learning
- Deep Learning
- NLP
- API implementation

### Nice to have
- open-source projects
- Customer Engineer
- Forward Deployed Engineer
- Sales Engineer
- Solutions Architect
- Technical Product Manager

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/mistral/e6accd7d-27d5-45f0-9f35-3454064374af?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)