MLOps Engineer creating robust and secure ML models for the IMG. Collaborating with data teams to operationalize AI solutions.
About the role
- Machine Learning Engineer position at RATP focuses on developing and optimizing Generative AI solutions. Engage with data science and machine learning within the company’s Data Factory.
Responsibilities
- Actively contribute to the development, enrichment and continuous improvement of our Generative AI solutions.
- Instantiate and operate our AI assistants (RAG solutions).
- Deploy and configure AI assistants to address business use cases.
- Design and iterate with business stakeholders to adapt assistants to the business context.
- Monitor the operation of AI assistants in production.
- Continuously improve the performance of various business chatbots.
- Contribute to the development of modular and reusable components.
Requirements
- Currently pursuing a Bachelor's (Bac+3) or a Master's year (Bac+4) at a French engineering school.
- Strong background in data science and machine learning, with a strong interest in generative AI and LLMs.
- Proficiency in Python and associated tools (e.g., venv, Ruff, pre-commit, ...).
- Experience with generative AI frameworks (LangChain, Pydantic AI, …) and API development (FastAPI).
- Familiarity with Azure managed services is a plus (AI Search).
- Strong analytical and synthesis skills.
- Autonomy, curiosity, innovative and entrepreneurial mindset.
- Strong inclination for teamwork.
- Good communication skills.
Benefits
- Remote work possible
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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