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AI Engineer
Monaco Digital. Participate in the design, development and deployment of Artificial Intelligence solutions for our clients: Vision-Language Models (VLMs), Generative AI (LLMs, AI agents, RAG), Machine Learning and Deep Learning.
Tech Stack
Tools & technologiesAzureDockerKubernetesPandasPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Participate in the design, development and deployment of Artificial Intelligence solutions for our clients: Vision-Language Models (VLMs), Generative AI (LLMs, AI agents, RAG), Machine Learning and Deep Learning.
- Build proofs of concept (POCs), minimum viable products (MVPs) and industrialized solutions that address business challenges.
- Contribute to the continuous improvement of deployed architectures and models.
- Propose solutions tailored to client needs while considering functional, technical, regulatory and budgetary constraints.
- Take part in the technical scoping of projects, in architectural choices, risk identification and effort estimation.
- Contribute to demonstrations, pre-sales activities and responses to tenders when required.
- Maintain an active technology watch.
- Perform benchmarks of models, frameworks and partner solutions.
- Participate in the experimentation and evaluation of new AI technologies.
- Contribute to the continuous improvement of the existing offerings of the AI Service Center.
- Help create new offers and services.
- Support Monaco Digital’s transformation through Artificial Intelligence.
- Represent Monaco Digital at AI-focused events, trade shows and conferences.
Requirements
What you’ll need- Master’s degree (Bac+5) in Artificial Intelligence or a related field.
- 2 to 5 years of professional experience in Data Science, Generative AI, Machine Learning or a related area.
- Participation in multiple AI projects in a production environment.
- Experience with RAG (Retrieval-Augmented Generation).
- Experience with Vision-Language Models (VLMs).
- Experience with fine-tuning and model evaluation.
- Python (required).
- PyTorch and/or TensorFlow.
- Pandas, Scikit-Learn.
- LangChain, LangGraph.
- Microsoft Azure AI Foundry.
- Docker, Kubernetes.
- Azure DevOps.
- Milvus, Azure AI Search.
- Strong analytical and problem-solving skills.
- Technical curiosity and a passion for innovation.
- Team spirit and a service-oriented mindset.
- Autonomy and the ability to thrive in a fast-growing environment.
- Excellent interpersonal skills and written and oral communication.
- Fluent in French; professional level in English.
Benefits
Comp & perks- Meal vouchers
- Supplementary health insurance
ATS Keywords
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Hard Skills & Tools
Generative AIMachine LearningVision-Language ModelsFine-TuningModel EvaluationData ScienceRAGAnalytical SkillsProblem-SolvingTechnical Scoping
Soft Skills
Team SpiritService-Oriented MindsetAutonomyInterpersonal SkillsCommunication Skills