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 production applications.
Role type
Senior Machine Learning Engineer (GenAI/LLM)
Builds
Production ML models, RAG applications, and scalable AI microservices
Domain
Artificial Intelligence, Natural Language Processing, Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Transformers, LangChain, LangGraph, FastAPI, MLOps, Docker, Kubernetes, AWS/GCP/Azure
Preferred skills
Vector databases (FAISS, Chroma, Milvus), GPU optimization, quantization, LLMOps, document ingestion (OCR, PDF parsing)
Technologies
PyTorch, TensorFlow, HuggingFace, LangChain, LangGraph, LlamaIndex, FastAPI, Flask, Docker, Kubernetes, MLflow, Weights & Biases, DVC, Airflow, Prefect, FAISS, Chroma, Milvus, AWS, GCP, Azure
Responsibilities
Develop and maintain robust ML pipelines; Implement LLM applications with agents and tools; Deploy and scale AI microservices; Monitor models in production for drift and performance; Collaborate with Data Engineering, Product, and Dev teams
Seniority
Senior, hands-on IC