Ingénieur.e IA/ML (H/F)
Core
Design, develop, and deploy scalable AI/ML solutions (LLMs, RAG, agentic systems) in public cloud environments for client digital transformation.
Role type
Senior Machine Learning Engineer (AI/LLM)
Builds
Production-ready AI/ML models, MLOps pipelines, and generative AI applications
Domain
Enterprise IT consulting, Generative AI, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python development for ML, MLOps, public cloud services (AWS/Azure/GCP), LLMs, RAG, vector databases, agentic systems, data pipelines, model monitoring
Preferred skills
Experience with managed AI services (Bedrock, SageMaker, Vertex AI), LangChain/LangGraph/LlamaIndex, Terraform, GitLab CI, Docker
Technologies
Python, AWS, Azure, GCP, LangChain, LangGraph, LlamaIndex, DeepEval, Ragas, Bedrock, AgentCore, SageMaker, Vertex AI, Terraform, GitLab CI, Docker
Responsibilities
Design and develop scalable AI/ML solutions in public cloud, integrate AI/ML models into existing applications, implement and optimize MLOps pipelines, develop LLM-based solutions with RAG and agentic approaches, deploy custom or managed models, collaborate with cross-functional teams, maintain technology trends in AI, educate clients on AI ethics and regulations
Seniority
Mid-Senior, hands-on IC
