- Company Name
- SQLI
- Job Title
- Stage de pré-embauche - DATA/AI Engineer F/H
- Job Description
-
Job title: Pre‑Employment Internship – Data/AI Engineer (F/M)
Role Summary:
A 6‑month internship focused on data engineering, AI model design, MLOps, data integration, and visualization. The candidate will participate in technical design, build and deploy data pipelines, develop and deploy AI/LLM models, and create dashboards using Power BI or equivalent tools, primarily on Azure and Talend environments.
Expectations:
* Current student in a final‑year engineering program (Data, AI, Computer Science, or related).
* Working knowledge of relational (SQL) and non‑relational (NoSQL) databases.
* Experience with data modeling (conceptual, logical, and AI model design).
* Familiarity with cloud platforms (Azure or GCP) and data services.
* Basic understanding of generative AI concepts (RAG, LLM).
* Intermediate English (B1+) and proactive communication skills.
* Willingness to learn new technologies, propose ideas, and collaborate in an agile team.
Key Responsibilities:
1. Technical design & data modeling – develop data dictionaries, flow maps, architecture diagrams, and AI model specifications.
2. Data integration – design and implement ETL workflows using Azure Data services, Talend, and Python scripting (workflows, mappings, KPI calculations, aggregations).
3. MLOps/LLM Ops – train, configure, and deploy AI services (Azure Vision, OpenAI, Mistal AI), set up monitoring, and manage model lifecycle in production.
4. Data visualization – build and maintain dashboards and reports with Microsoft Power BI or other visualization tools.
Required Skills:
* SQL & NoSQL database systems
* Python, Spark, R (data modeling)
* Azure Data services, Talend, or equivalent ETL tools
* Power BI, QlikSense, Looker (data viz)
* Azure Vision, OpenAI, Mistal AI (AI services)
* MLOps concepts, model deployment, monitoring
* Cloud platform experience (Azure or GCP)
* Familiarity with generative AI (RAG, LLM)
* Basic scripting for data processing and KPI calculations
Required Education & Certifications:
* Enrolled in or recently graduated from an engineering program with focus on Data Science, AI, or related field.
* Certifications preferred but not mandatory: Microsoft Azure Data Engineer Associate, Azure AI Engineer Associate, or similar.
Le grand-quevilly, France
On site
26-09-2025