Key skills
AzureCloudPythonAIGenAILLMOpenAILangChainLlamaIndexAgenticMLOps
About this role
Role Overview
- The Senior Data Scientist can code, build, and deploy production-ready AI solutions.
- Design, build, and deploy LLM-powered applications and agents for automation and workflow optimization.
- Develop reusable agentic components.
- Prepare and process structured/unstructured datasets for fine-tuning or training models.
- Deploy scalable solutions on cloud platforms (Azure preferred) and manage the lifecycle with MLOps best practices.
- Present the results of the analysis or the models to the customers with data visualisation tools indicating the performances and the limits.
- The source code is delivered and explained if necessary.
Requirements
- Hands-on with Python, LLM frameworks (LangChain, LlamaIndex)
- Experience in creating reusable agentic components
- Ability to design reusable, production-grade AI components
- Strong problem-solving skills
- Practical experience with both proprietary (OpenAI) and open-source LLMs
- Experience deploying solutions on Azure (preferred) or other major cloud platforms.
- Stay up to date with the latest GenAI/LLM advancements and apply them to real-world problems.
Tech Stack
- Azure
- Cloud
- Python
Benefits
- Health of the metier is well supported by the data scientist network with proposals for improvements to develop people, technos, processes.