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Ippon Technologies

IT consulting and cloud modernization partner

AI/ML Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNantes, FranceNo salary listed

About the Job

Requirements

  • A Bac+5 qualification and at least three years of experience in a similar role.
  • Strong proficiency in Python development applied to machine learning and artificial intelligence.
  • Experience with MLOps, deploying and monitoring models and AI solutions in production.
  • Good knowledge of public clouds and managed AI/ML services.
  • Proficiency with data pipelines and orchestration.
  • Experience with large language models, retrieval-augmented generation, vector databases, and agentic systems.
  • Sensitivity to legal, ethical, regulatory, and responsible-AI issues.

Responsibilities

  • Design and develop scalable AI/ML solutions in public cloud environments.
  • Integrate AI/ML models into existing applications.
  • Implement and optimize MLOps pipelines to industrialize models.
  • Implement evaluation and monitoring approaches for machine learning models and generative or agentic AI systems.
  • Develop AI solutions based on large language models, retrieval-augmented generation systems, and agentic approaches.
  • Deploy custom models or integrate managed models.
  • Collaborate with multidisciplinary teams, including Data Science, Data Engineering, DevOps, Fullstack, and business teams.
  • Monitor technology developments and follow AI innovations.
  • Raise awareness among clients about legal and ethical aspects of AI.

About the Company

Ippon Technologies

IT consulting and cloud modernization partner

Ippon Technologies is a B2B technology partner that guides organizations through digital transformation, offering consulting and execution services across cloud strategy and migration, data and analytics, AI, software engineering, and platform modernization. It works end-to-end from strategy to implementation, including AWS Migration Acceleration Program-based cloud migration, data analytics to improve decision-making, AI for experimentation and deployment, and operating-model modernization. The company differentiates itself through a disciplined, results-driven approach inspired by its founder’s judo background and by its status as an AWS Advanced Partner with open-source contributions like JHipster. Its goal is to help clients modernize technology stacks, accelerate time-to-value for digital initiatives, and scale their capabilities in sectors such as banking, insurance, and capital markets, especially in the US.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$550K
Headquarters
Paris, France
Founded
2002

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