FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAzureCloudPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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.
Benefits
Comp & perks- Health of the metier is well supported by the data scientist network with proposals for improvements to develop people, technos, processes.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonLLM frameworksLangChainLlamaIndexMLOpsdata visualizationcloud platformsAzureAI solutionsagentic components
Soft Skills
problem-solving
