Applied AI, Machine Learning Engineer
Remote • Seoul • Full-time
Posted 16h ago
Job Location
Seoul
Tech Stack
Remote Work Policy
Fully remote
Employment Type
Full-time
Categories
Applied AI Engineer
About the job
Mistral AI is seeking an Applied AI Engineer to join their team and facilitate the adoption of their AI products among customers. This role involves collaborating with clients to address complex technical challenges, from pre-sale to post-implementation, ensuring Mistral's solutions meet and exceed expectations. The engineer will manage daily customer relations, act as a key resource in externalizing research into production settings, and work on state-of-the-art Generative AI applications across various industries. This position offers the opportunity to contribute to a pioneering company shaping the future of AI and make a meaningful impact.
Responsibilities
- Onboard customers onto products and APIs, providing guidance on prompting, evaluation, and fine-tuning.
- Ensure optimal production integration with back-end and front-end interfaces.
- Work on state-of-the-art GenAI applications for consumer products and industrial use cases.
- Deploy production use cases with significant business impact across various industries.
- Collaborate with researchers and engineers on complex customer projects, including fine-tuning and LLM applications.
- Contribute to open-source codebases for tasks like inference and fine-tuning.
- Participate in pre-sales calls to understand client needs and provide technical guidance on Mistral products.
- Collaborate with product and science teams to improve product and model capabilities based on customer feedback.
Requirements
- PhD or Master's degree in AI or Data Science.
- 2+ years of experience as a technical individual contributor (data scientist or software engineer) on AI-based products.
- Experience in fine-tuning LLMs and tackling advanced RAG or agentic use cases.
- Deep understanding of machine learning and LLM concepts and algorithms.
- Experience 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 frameworks like PyTorch.
- Experience with agent frameworks such as Langchain and vector databases.
- Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
Benefits
- Competitive cash salary and equity
- Health Insurance
- $90 monthly allowance for gym membership
- $200 monthly allowance for meals
- $120/month reimbursement for public transport or parking charges