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Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation.
Job Responsibility:
Create machine learning models and tailored AI solutions
Fine-tune and extend Large Language Models (LLMs) including open-source and commercial models
Implement Retrieval-Augmented Generation (RAG) techniques for enhanced model efficiency
Perform exploratory data analysis and feature engineering to unlock better model performance
Develop Generative AI models for content creation, process automation, and innovation
Utilize decision trees, SVMs, neural networks, and more to solve diverse problems
Work alongside data engineers, product managers, and stakeholders
Ensure high-quality AI solutions through rigorous testing and validation
Maintain technical documentation for knowledge sharing and reproducibility.
Requirements:
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
Experience with vector databases
Advanced programming skills in Python with frameworks like TensorFlow, PyTorch, and Hugging Face
Deep understanding of NLP techniques and architectures
Practical experience with traditional AI/ML methods such as decision trees, SVMs, clustering and neural networks
Familiarity with cloud platforms (AWS, GCP, or Azure) for AI/ML deployments
Knowledge of MLOps practices and tools
Strong problem-solving and analytical skills
Effective communication in public and teamwork skills
Fluency in English (C1 level or higher) is mandatory
Willingness to learn French.
Nice to have:
Knowledge of reinforcement learning from human feedback (RLHF)
Familiarity with prompt engineering
Understanding of ethical AI principles and model interpretability
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