Applied AI, Forward Deployed Machine Learning Engineer - (Internship)

Mistral
Paris
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningSkills: ["Communication"]

Work with the Applied AI Engineering team to help customers deploy state-of-the-art GenAI applications and tackle complex technical challenges. Collaborate across researchers, AI and product engineers to improve product and model capabilities based on customer feedback. This Paris-based internship runs for 3–6 months and supports CIFRE continuation after the internship, building practical skills across MLOps and deployed NLP/ML systems.

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FursaFursa
Mistral
Mistral
1 month ago

Applied AI, Forward Deployed Machine Learning Engineer - (Internship)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Work with the Applied AI Engineering team to help customers deploy state-of-the-art GenAI applications and tackle complex technical challenges. Collaborate across researchers, AI and product engineers to improve product and model capabilities based on customer feedback. This Paris-based internship runs for 3–6 months and supports CIFRE continuation after the internship, building practical skills across MLOps and deployed NLP/ML systems.
Location: Paris
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Contribute to the deployment of state-of-the-art GenAI applications with customers.
  • •Collaborate with researchers, AI engineers, and product engineers on complex customer projects.
  • •Work with the product and science team to improve product and model capabilities based on customer feedback.

Pay and Benefits

Perks:Health InsuranceParental LeavePensionRelocationMeal AllowanceTravel Allowance

Key Requirements

  • •Currently pursuing a degree in AI, data science, or a related field at a tier 1 engineering school or university.
  • •Strong programming skills in Python.
  • •Familiarity with machine learning algorithms and natural language processing techniques.
  • •Basic understanding of MLOps and deploying machine learning use cases.
  • •Good communication skills, including explaining technical concepts to both technical and non-technical audiences.
Education:
Skills:Communication
Tech Stack:PythonPyTorchMLOpsGenAINatural language processingMachine learningGitLinux shellHPC environments

Company Brief

Mistral
Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedIn