8 дней назад
Internship - Data Engineering & AI-Ready Software Architecture
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Internship - Data Engineering & AI-Ready Software Architecture (Python/AI): Building a standardized pipeline and web interface that transform heterogeneous laboratory instrument outputs into queryable experimental data for scientists, with an accent on schema modeling, data quality, and AI integration. Focus on designing REST APIs, LLM/RAG access layers, and reproducible tooling for microbiology and fermentation experiments.
Location: Marcq-en-Barœul, France. The internship is intended for a candidate currently studying at a French university or higher French education institution and requires valid authorization to work in France.
No salary specified.
Company
is a global fermentation and bioengineering company working on nutrition, health, naturalness, and environmental challenges through the potential of microorganisms.
What you will do
- Build automated modules to acquire, parse, clean, type, and quality-control data from laboratory instruments and heterogeneous file formats.
- Define unified schemas for experimental metadata, validation, serialization, interoperability, and reproducibility.
- Develop datasets, function-calling endpoints, and access layers for AI agents, LLMs, and RAG pipelines.
- Expose processing services through REST APIs and build Streamlit interfaces for scientific data visualization, validation, and querying.
- Apply Docker, Git, unit and integration testing, environment management, and technical documentation practices.
- Deliver a deployed standardization pipeline, documented schema, LLM-queryable layer, and interface for at least one NMH data family.
Requirements
- Currently enrolled in a Master 2 or final year of an Engineering School at a French university or higher French education institution.
- Valid authorization to work in France.
- Background in Computer Science, Software Engineering, or Data Engineering.
- Advanced Python proficiency and experience with REST API design, Git, Docker, databases, and data indexing concepts.
- Understanding of LLM and agent integration patterns, including function calling and JSON schemas.
- Fluent English, written and spoken. Curiosity about microbiology and fermentation, rigorous abstraction skills, code quality, and strong collaboration skills are expected.
Nice to have
- Experience with scientific or tabular data, including units, dilutions, replicates, plate formats, or time series.
- Exposure to bioinformatics or laboratory data.
Culture & Benefits
- Six-month internship in a multidisciplinary research environment involving nutrition, microbiota, health, data science, and bioinformatics teams.
- Co-mentoring by an NMH scientist and a BioData DevOps engineer.
- Work in a multicultural environment with colleagues from more than 90 nationalities.
- Join a family business focused on nourishing and protecting the planet.
- Desired starting date: January 2027.
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