Artificial Intelligence Engineer

As a Senior Data Scientist & AI Engineer, you will be working for our client, a global leader in AI and machine learning technology, focused on transforming data-driven insights into innovative solutions for the financial industry. Your expertise will drive the development of cutting-edge AI algorithms, including Generative AI models and agentic solutions, shaping the next generation of intelligent systems and contributing to impactful financial innovations.

Your main responsibilities:

• Design and deploy advanced machine learning models and tailored AI solutions that solve real-world challenges.
• Innovate by fine-tuning and extending Large Language Models (LLMs), including open-source and commercial options.
• Optimize AI performance through Retrieval-Augmented Generation (RAG) techniques and vector database integration.
• Analyze data thoroughly, performing exploratory data analysis and feature engineering to maximize model effectiveness.
• Build agentic AI systems, utilizing knowledge of agent harness (memory, storage, state, file system), MCP servers (tools, gateways, protocols), and agent communication protocols (A2A, ACP).
• Apply traditional AI/ML methods such as decision trees, neural networks, and SVMs to diverse problems.
• Collaborate efficiently with cross-functional teams including data engineers, product managers, and stakeholders to deliver impactful solutions.
• Ensure the highest quality of AI solutions through rigorous testing, validation, and documentation.

• A minimum of 4 years of professional experience in machine learning and AI development.
• Strong expertise in developing, deploying, and optimizing agentic AI solutions.
• Proficiency in working with open-source and commercial LLMs, particularly in Python (TensorFlow, PyTorch, Hugging Face).
• Hands-on experience with RAG techniques and vector databases.
• Deep understanding of NLP techniques, models, and architectures.
• Knowledge of cloud platforms such as GCP, AWS, or Azure for deployment.
• Familiarity with MLOps practices and tools.
• Excellent analytical, problem-solving, and communication skills in English (C1 level or higher).
• Willingness to learn French is a strong plus.

It is a strong plus if you have:

• Expertise in reinforcement learning from human feedback (RLHF).
• Experience in Generative AI, including model training, fine-tuning, and deployment.
• Understanding of ethical AI principles and model interpretability.
• Fluency in French.

Language Required for the role: English, with a good command level.

Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role.