Data Scientist / Ai Engineer - €300 - €350 A Day
Summary
Designs and deploys AI models (LLMs, NLP, generative AI) and MLOps pipelines using Python, PyTorch, and Azure services to build chatbots, agentic AI platforms, and predictive analytics solutions.
LocationNice, France# Data Scientist / AI Engineer at N Consulting LtdLocationNice, FranceSalary€300 - €350 /dayJob TypeContractDate PostedDecember 23rd, 2025Apply Now**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, TensorFlow, FastAPI, Node.Js, Java is a plus* **ML & AI:** Generative AI, LLMs, NLP, LangChain, LangGraph, knowing Semantic Kernel, Microsoft Agent Framework, Agent Development Kit (Google) is a plus* **Data Engineering:** Spark, PySpark, DataBricks, Airflow* **Databases:** Neo4j, Pinecone, BigQuery* **Cloud Platforms:** Azure (AI Foundry)* **MLOps:** MLFlow, Kubernetes, Docker**Tools:** Looker, Data Studio, Streamlit
**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, TensorFlow, FastAPI, Node.Js, Java is a plus* **ML & AI:** Generative AI, LLMs, NLP, LangChain, LangGraph, knowing Semantic Kernel, Microsoft Agent Framework, Agent Development Kit (Google) is a plus* **Data Engineering:** Spark, PySpark, DataBricks, Airflow* **Databases:** Neo4j, Pinecone, BigQuery* **Cloud Platforms:** Azure (AI Foundry)* **MLOps:** MLFlow, Kubernetes, Docker**Tools:** Looker, Data Studio, Streamlit