I
Inetum
AI Engineer
Data Scientist - AI and Machine Learning
On-siteMidAI Engineerposted 2mo ago
Role summaryAI-generated
This role focuses on designing and deploying AI solutions, particularly fine-tuning LLMs and implementing RAG techniques to enhance model performance and efficiency. The candidate will collaborate across teams to build generative AI systems while ensuring robust quality assurance through rigorous testing and validation.
Skills required
About this role
- Design & Deploy: Create machine learning models and tailored AI solutions.
- Innovate: Fine-tune and extend Large Language Models (LLMs) including open-source and commercial models.
- Optimize: Implement Retrieval-Augmented Generation (RAG) techniques for enhanced model efficiency.
- Analyze: Perform exploratory data analysis and feature engineering to unlock better model performance.
- Build Generative AI: Develop cutting-edge models for content creation, process automation, and innovation.
- Apply Traditional ML: Utilize decision trees, SVMs, neural networks, and more to solve diverse problems.
- Collaborate: Work alongside data engineers, product managers, and stakeholders.
- Quality Assurance: Ensure high-quality AI solutions through rigorous testing and validation.
- Document & Share: Maintain technical documentation for knowledge sharing and reproducibility.
Qualifications
Your Must-Have Skills:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- 3+ years of hands-on experience in machine learning and AI development.
- Strong expertise in Generative AI (model training, fine-tuning, and deployment).
- Experience with open-source and commercial LLMs.
- Proficiency in implementing RAG techniques.
- Fluency in English (C1 level or higher) is mandatory.
- Willingness to learn French.
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