ALTEN Mexico

Engineering and technology consulting services

Artificial Intelligence Specialist

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeValbonne, FranceNo salary listedIn-person

About the Job

Requirements

Solid proficiency in machine learning, deep learning, and natural language processing.
Experience with large language models, including OpenAI, Mistral, Gemini, and Llama 2/3, and retrieval-augmented generation and agent frameworks such as LangChain and LlamaIndex.
Skills in optical character recognition tools, including Azure Document Intelligence, EasyOCR, and PaddleOCR.
Knowledge of relational and vector databases, including PostgreSQL, MySQL, Pinecone, and ChromaDB.
Hands-on experience with Azure, preferred, or AWS or GCP.
Strong Python skills, including FastAPI, Streamlit, orchestration, and APIs.
Ability to collaborate with cross-functional AI, cloud, business, and presales teams.

Responsibilities

Design hybrid text, vector, and semantic search engines.
Build robust retrieval-augmented generation pipelines combining embeddings, retrievers, and generative models.
Deploy knowledge-retrieval systems using Azure AI Search, FAISS, or ChromaDB.
Develop and integrate next-generation optical character recognition solutions using Azure Document Intelligence, Tesseract, or PaddleOCR.
Automate data extraction from structured and unstructured documents, including PDFs, scans, and forms.
Design preprocessing, classification, and human-in-the-loop validation pipelines.
Improve extraction quality and reliability using supervised or fine-tuned AI models.
Design and deploy specialized AI agents that orchestrate multiple tasks, including search, extraction, generation, and API calls.
Integrate agent frameworks such as LangChain Agents, LlamaIndex Agents, or Azure AI Agents SDK.
Build contextualized business copilots for data management, decision support, and internal customer support.
Monitor agent behavior using monitoring, feedback, and security tools, including guardrails and trace logs.
Deploy solutions to cloud environments using Azure, GCP, or AWS, with CI/CD and MLOps approaches.
Ensure solution scalability, security, and compliance, including RBAC, VNET, and auditing.
Contribute to technology monitoring and technical knowledge-building for ALTEN accelerators, including the A3 Initiative.

Desired Qualifications

Curiosity, rigor, autonomy, and willingness to share knowledge.

Description du poste

Contexte

Au sein de la Direction des Compétences et des Practices (DCP), vous rejoignez une équipe d’ingénieurs IA qui conçoivent, déploient et industrialisent les accélérateurs d’IA d’ALTEN : solutions de RAG, OCR, Search, et Agents IA déployées sur Azure, GCP et AWS.

Votre mission : transformer les besoins métiers de nos clients grands comptes (aéronautique, pharma, industrie, tech) en solutions concrètes et scalables.

Vous interviendrez aussi bien en avant-vente (conception, prototypage, architecture) qu’en phase projet (déploiement, monitoring, MLOps), au sein d’un environnement mêlant innovation, production, et collaboration interdisciplinaire.

Missions principales

Concevoir des moteurs de recherche hybrides (textuels, vectoriels, sémantiques).
Construire des pipelines RAG robustes combinant embeddings, retrievers, et modèles génératifs.
Déployer des systèmes de knowledge retrieval exploitant Azure AI Search, FAISS, ou ChromaDB.
Développer et intégrer des solutions OCR de nouvelle génération (Azure Document Intelligence, Tesseract, PaddleOCR).
Automatiser l’extraction de données depuis des documents structurés et non structurés (PDF, scans, formulaires).
Concevoir des pipelines de pré-traitement, classification et validation humaine (Human-in-the-loop).
Améliorer la qualité et la fiabilité des extractions via des modèles IA supervisés ou fine-tunés.
Concevoir et déployer des Agents IA spécialisés capables d’orchestrer plusieurs tâches (search, extraction, génération, API calls).
Intégrer des frameworks d’agents comme LangChain Agents, LlamaIndex Agents ou Azure AI Agents SDK.
Construire des copilotes métiers contextualisés (pilotage de données, aide à la décision, support client interne).
Superviser le comportement des agents via des outils de monitoring, feedback et sécurité (guardrails, trace logs).
Déployer les solutions sur les environnements Cloud (Azure, GCP, AWS) avec approche CI/CD et MLOps.
Garantir la scalabilité, la sécurité et la conformité des solutions (RBAC, VNET, audit).
Participer à la veille technologique et à la capitalisation technique des accélérateurs ALTEN (A3 Initiative).

Qualifications

Profil recherché

Solide maîtrise du Machine Learning, Deep Learning et NLP.
Expérience en LLMs (OpenAI, Mistral, Gemini, Llama2/3) et frameworks RAG/agents (LangChain, LlamaIndex).
Compétences en OCR (Azure Document Intelligence, EasyOCR, PaddleOCR).
Connaissances en bases de données relationnelles et vectorielles (PostgreSQL, MySQL, Pinecone, ChromaDB).
Pratique confirmée sur Azure (préféré) ou AWS / GCP.
Excellente maîtrise du Python (FastAPI, Streamlit, orchestration, APIs).
Capacité à collaborer avec des équipes transverses : IA, cloud, métier, avant-vente.
Curiosité, rigueur, autonomie, et sens de la transmission.

Informations supplémentaires

CDI, temps plein

About the Company

ALTEN Mexico

Engineering and technology consulting services

ALTEN Mexico provides engineering and technology consulting services by supplying highly specialized engineers who embed within client teams to work on complex projects. The way it works is by offering a flexible pool of talent for research and development needs, allowing clients to access experts without committing to permanent hires. The company differentiates itself through a focus on embedded engineering consultants, serving sectors like telecommunications, aerospace, and information systems, and by expanding its reach via organic growth and acquisitions across Europe and globally. Its goal is to help clients access top engineering expertise efficiently while growing the business through deliberate geographic and service expansion.

Company size: Not listed
Company stage: IPO
Headquarters: Boulogne-Billancourt, France
Founded: 1988

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