AI & Data Engineer (Junior–Mid) | Cloud & Gen AI

Atos SE; Bordeaux; Sur place; EUR 40 000 - 60 000; Plein temps

Avantages offerts par ce poste

Hands-on Data & AI projects

Professional growth opportunities

Training in Cloud, Data, AI

Résumé du poste

Atos is seeking a Junior to Mid-Level AI & Data Engineer in France, Bordeaux region, to contribute to design and industrialization of Data and AI solutions. You will join a multidisciplinary team of Data, AI, and Cloud experts on innovative projects with strong business impact.

You will develop data pipelines, deploy in cloud environments, and support Generative AI integration, leveraging Python, SQL, Databricks, Spark, Git and MLflow to deliver reliable, scalable data platforms.

Qualifications

• Master's degree in CS, Data Science, AI or related field.
• 1 to 3 years of experience including internships or apprenticeships.
• Proficient in Python and SQL.
• Initial exposure to Cloud and/or Data environments.
• Strong interest in Generative AI and modern Data technologies.

Responsabilités

• Develop and maintain data processing pipelines.
• Contribute to the design and deployment of Data & AI solutions.
• Support the integration of Generative AI models (LLMs, RAG architectures, AI assistants).
• Participate in the industrialization of developments (CI/CD, testing, monitoring).
• Deploy solutions in cloud environments.
• Ensure platform maintenance and continuous improvement.

Connaissances

Python

SQL

Generative AI interest

Team spirit

Curiosity

Formation

Master's degree in Computer Science / Data Science / AI

Outils

Databricks

Spark

Git

CI/CD

MLflow

Docker

Description du poste

Atos is seeking a Junior to Mid-Level AI & Data Engineer in France, Bordeaux region, to contribute to design and industrialization of Data and AI solutions. You will join a multidisciplinary team of Data, AI, and Cloud experts on innovative projects with strong business impact.

You will develop data pipelines, deploy in cloud environments, and support Generative AI integration, leveraging Python, SQL, Databricks, Spark, Git and MLflow to deliver reliable, scalable data platforms.