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Data Scientist​/AI Engineer

Trabajo disponible en: 04810, Madrid, Andalucia, España
Empresa: N Consulting Limited
Tiempo completo posición
Publicado en 2025-12-25
Especializaciones laborales:
  • TI/Tecnología
    Ingeniero de IA, Machine Learning, Científico de datos, Analista de datos
Rango Salarial o Referencia de la Industria: 300 EUR Diario EUR 300.00 DAY
Descripción del trabajo
Puesto: Data Scientist / AI Engineer
Location Nice, France# Data Scientist / AI Engineer at N Consulting Ltd Location Nice , France Salary €300 - €350 /dayJob Type Contract Date  Posted December 23rd, 2025

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*
* Job Title:

Data Scientist / AI Engineer
***
* Location:

** Nice, France (Pref.) or Madrid, Spain  
*
* Experience:

** 10+ years in software engineering, 5+ years in data science, Machine Learning  
*
* Employment Type:

** Full-time
** Role Overview:
** We are seeking an experienced
** Data Scientist / AI Engineer
** to design and implement advanced machine learning solutions, optimize data workflows, and develop AI-driven applications. The ideal candidate will have strong expertise in
** Generative AI, LLMs, NLP, and MLOps**, along with a proven track record in delivering end-to-end data science projects.
*
* Key Responsibilities:

*** Develop and deploy
** machine learning models
** for predictive analytics, fraud detection, and time series forecasting.
* Build
** chatbot solutions
** using LLMs (OpenAI, Mistral AI) integrated with RAG, and vector databases.
* Design and build an
** Agentic AI platform
** with protocols like
** Agent to Agent (A2A)
** and
** Model Context Protocol (MCP)
*** Implement
** data pipelines
** using Databricks, Airflow, and Azure services
* Conduct
** A/B testing and hypothesis testing
** for product pricing and optimization.
* Automate reporting processes and improve operational efficiency through advanced analytics.
* Mentor junior team members and contribute to knowledge sharing.
*
* Required Skills:

**
* ** Programming:
** Python, PyTorch, Tensor Flow, FastAPI, Node.js, Java is a plus
* ** ML & AI:
** Generative AI, LLMs, NLP, Lang Chain, Lang Graph, knowing Semantic Kernel, Microsoft Agent Framework, Agent Development Kit (Google) is a plus
* ** Data Engineering:
** Spark, PySpark, Data Bricks, Airflow
* ** Databases:
** Neo4j, Pinecone, Big Query
* ** Cloud Platforms:
** Azure (AI Foundry)
* ** MLOps:
** MLFlow, Kubernetes, Docker
** Tools:
** Looker, Data Studio, Streamlit
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