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Stage IA/ML Engineer 100% R&D - agentic AI

Ekimetrics· Paris – Data Science & AI / Innovation Department
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Hybrid (Paris)€1.8k/moInternPosted 4d ago

About the role

Internship in the Innovation Department focused on building remit, an agentic AI system to semi-automate the data science workflow, combining applied AI research with production-grade engineering on Ekimetrics' data stack.

Responsibilities

  • Review the latest research on agentic data science and on the evaluation of AI agents, building on the team's recent review.
  • Design and implement remit's agents, starting with problem framing and data design, together with the automatic checks that catch mistakes such as data leakage.
  • Help define how the system works with business users: when to ask a clarifying question, when to stop rather than guess, and how to explain results in plain language.
  • Extend the system toward modeling and evaluation, building on trusted tools (scikit-learn, AutoML, tabular foundation models) rather than free-form generated code.
  • Build a benchmark of realistic business cases, run experiments to measure quality, reliability and cost, and take part in a pilot with business users.
  • Help integrate the system with the Databricks stack (Unity Catalog, MLflow) and support the safe and governed operation of the agents.

Qualifications

  • Currently in the final year of a Master’s or Engineering degree, with strong foundations in machine learning, statistics, and programming.
  • Good grasp of model validation: train/test splits, data leakage, baselines.
  • Strong analytical and problem-solving skills, with the ability to work autonomously on an open-ended research-and-build problem and to explain results to non-specialists.
  • Familiarity with large language models and agentic techniques (prompting, tool calling, structured outputs, evaluation).
  • Strong Python skills and a solid command of the standard data science toolkit (pandas/polars, scikit-learn, gradient-boosting libraries).
  • Fluency in English.
  • Nice to have: experience with an agent framework, solid software engineering practices (git, code review, testing), and exposure to Databricks, MLflow or cloud data platforms.

Skills

Required:Problem framing and data designEvaluation of AI agentsPython (pandas/polars, scikit-learn)Large language models / agent frameworksCommunication with business users
Nice to have:Databricks (Unity Catalog, MLflow)

Benefits

  • Hands-on Research & Engineering Experience: Build a pioneering agentic system on real data science workflows, contributing to a tool with direct real-world impact.
  • Collaborative Learning: Engage with a team of data scientists, AI experts, and PhDs in a dynamic, research-driven environment within Ekimetrics' Innovation Department.
  • Skill Development: Gain expertise in LLM agents, the evaluation of AI systems, and production tooling on Databricks (Unity Catalog, MLflow).
  • Career Growth: Opportunity to transition into a full-time Data Scientist role in AI at Ekimetrics, or into a PhD program, upon successful completion of the internship.
  • Scientific Contribution: Opportunity to co-author and publish scientific papers in reputable AI and data science conferences and journals.
  • Networking: Collaborate with Ekimetrics' industrial and academic partners, enhancing your professional network in the AI research community.
  • Ethical and Sustainable AI: Learn to develop AI solutions that align with ethical, governed, and sustainable best practices, a core commitment of Ekimetrics.
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Ekimetrics

AI Business Solutions – Ekimetrics

Ekimetrics provides AI business solutions, enhancing business operations and driving efficiency through data and AI solutions.

AIBusiness SolutionsData AnalyticsMarketing & Commercial EffectivenessCustomer AnalyticsOperational ExcellenceAI for Sustainability
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