Consultant Technique Confirmé AI (H/F)
Core
Design, train, optimize, and deploy Machine Learning and Deep Learning models (NLP, LLM, embeddings) and build RAG architectures for industrial AI solutions.
Role type
Senior Machine Learning Engineer (GenAI/LLM)
Builds
Production ML models, RAG systems, LLM applications, and scalable microservices
Domain
Artificial Intelligence, Natural Language Processing, Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Transformers, LangChain, FastAPI, Docker, CI/CD, AWS/GCP/Azure
Preferred skills
Kubernetes, Airflow, GPU optimization, vector databases (FAISS, Chroma, Milvus), OCR/PDF parsing
Technologies
LangGraph, LlamaIndex, MLflow, Weights & Biases, DVC, FastAPI, Flask, PyTorch, TensorFlow, HuggingFace, FAISS, Chroma, Milvus, Docker, Kubernetes, Airflow, Prefect, AWS, GCP, Azure
Responsibilities
Develop and maintain robust ML pipelines including training, evaluation, monitoring, and CI/CD; Implement RAG architectures with document ingestion, chunking strategies, and retrieval pipelines; Deploy and scale AI microservices; Optimize inference performance and GPU consumption; Collaborate with Data Engineering, Product, and Dev teams to industrialize solutions; Monitor models in production for drift and performance issues.
Seniority
Senior, hands-on IC